Hugging Face (Independent Publisher)
We're on a journey to advance and democratize artificial intelligence through open source and open science. Hugging Face is most notable for its Transformers library built for natural language processing applications and its platform that allows users to share machine learning models and datasets.
This connector is available in the following products and regions:
Service | Class | Regions |
---|---|---|
Logic Apps | Standard | All Logic Apps regions except the following: - Azure Government regions - Azure China regions - US Department of Defense (DoD) |
Power Automate | Premium | All Power Automate regions except the following: - US Government (GCC) - US Government (GCC High) - China Cloud operated by 21Vianet - US Department of Defense (DoD) |
Power Apps | Premium | All Power Apps regions except the following: - US Government (GCC) - US Government (GCC High) - China Cloud operated by 21Vianet - US Department of Defense (DoD) |
Contact | |
---|---|
Name | Troy Taylor |
URL | https://www.hitachisolutions.com |
ttaylor@hitachisolutions.com |
Connector Metadata | |
---|---|
Publisher | Troy Taylor |
Website | https://huggingface.co/ |
Privacy policy | https://huggingface.co/privacy |
Categories | AI |
The connector supports the following authentication types:
Default | Parameters for creating connection. | All regions | Not shareable |
Applicable: All regions
Parameters for creating connection.
This is not shareable connection. If the power app is shared with another user, another user will be prompted to create new connection explicitly.
Name | Type | Description | Required |
---|---|---|---|
API Token (in the form 'Bearer yourToken') | securestring | The API Token (in the form 'Bearer yourToken') for this api | True |
Name | Calls | Renewal Period |
---|---|---|
API calls per connection | 100 | 60 seconds |
Run a conversational task |
Retrieve a generated response to a conversation. |
Run a fill mask task |
Retrieve a list of possible missing words. |
Run a model by ID |
Retrieve the response for your requested input. |
Run a question answering task |
Retrieve an answer to your question. |
Run a sentence similarity task |
Calculate the semantic similarity between one text and a list of other sentences by comparing their embeddings. |
Run a summarization task |
Retrieve a shorter text summary. |
Run a text classification task |
Retrieves the likelihood of classes of an input for sentiment-analysis. |
Run a text generation task |
Retrieve a continuation of text from a prompt. |
Run a token classification task |
Retrieve sentence parsing keywords contained within the text. |
Run a zero-shot classification task |
Retrieve the results from a passed sentence/paragraph and the possible labels for that sentence. |
Run an English to German translation task |
Retrieves translated text into German. |
Retrieve a generated response to a conversation.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Past User Inputs
|
past_user_inputs | array of string |
The past user inputs. |
|
Generated Responses
|
generated_responses | array of string |
The generated responses. |
|
Text
|
text | True | string |
The text. |
Min Length
|
min_length | integer |
The minimum length. |
|
Max Length
|
max_length | integer |
The max length. |
|
Top Tokens
|
top_k | integer |
The top tokens considered. |
|
Top Probably
|
top_p | integer |
The top probably tokens. |
|
Temperature
|
temperature | float |
The temperature. |
|
Repetition Penalty
|
repetition_penalty | float |
The repetition penalty. |
|
Max Time
|
max_time | float |
The max time. |
|
Use Cache
|
use_cache | boolean |
Whether to use cache. |
|
Wait For Model
|
wait_for_model | boolean |
Whether to wait for model. |
Returns
Name | Path | Type | Description |
---|---|---|---|
Generated Text
|
generated_text | string |
The generated text. |
Past User Inputs
|
conversation.past_user_inputs | array of string |
The past user inputs. |
Generated Responses
|
conversation.generated_responses | array of string |
The generated responses. |
Retrieve a list of possible missing words.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Inputs
|
inputs | True | string |
The inputs. |
Use Cache
|
use_cache | boolean |
Whether to use cache. |
|
Wait For Model
|
wait_for_model | boolean |
Whether to wait for model. |
Returns
Name | Path | Type | Description |
---|---|---|---|
|
array of object | ||
Score
|
score | float |
The score. |
Token
|
token | integer |
The token. |
Token String
|
token_str | string |
The token string. |
Sequence
|
sequence | string |
The sequence. |
Retrieve the response for your requested input.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Model ID
|
model_id | True | string |
The model identifier. |
Inputs
|
inputs | True | string |
The inputs. |
Query
|
query | string |
The query. |
|
Use Cache
|
use_cache | boolean |
Whether to use cache. |
|
Wait For Model
|
wait_for_model | boolean |
Whether to wait for model. |
Returns
The response object.
- Response
- object
Retrieve an answer to your question.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Question
|
question | True | string |
The question. |
Context
|
context | True | string |
The context. |
Returns
Name | Path | Type | Description |
---|---|---|---|
Score
|
score | float |
The score. |
Start
|
start | integer |
The start. |
End
|
end | integer |
The end. |
Answer
|
answer | string |
The answer. |
Calculate the semantic similarity between one text and a list of other sentences by comparing their embeddings.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Source Sentence
|
source_sentence | True | string |
The source sentence. |
Sentences
|
sentences | True | array of string |
The sentences. |
Use Cache
|
use_cache | boolean |
Whether to use cache. |
|
Wait For Model
|
wait_for_model | boolean |
Whether to wait for model. |
Returns
Name | Path | Type | Description |
---|---|---|---|
|
array of float |
Retrieve a shorter text summary.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Inputs
|
inputs | string |
The inputs. |
|
Do Sample
|
do_sample | boolean |
Whether to do sample. |
|
Min Length
|
min_length | integer |
The minimum length. |
|
Max Length
|
max_length | integer |
The max length. |
|
Top Tokens
|
top_k | integer |
The top tokens considered. |
|
Top Probably
|
top_p | integer |
The top probably tokens. |
|
Temperature
|
temperature | float |
The temperature. |
|
Repetition Penalty
|
repetition_penalty | float |
The repetition penalty. |
|
Max Time
|
max_time | float |
The max time. |
|
Use Cache
|
use_cache | boolean |
Whether to use cache. |
|
Wait For Model
|
wait_for_model | boolean |
Whether to wait for model. |
Returns
Name | Path | Type | Description |
---|---|---|---|
|
array of object | ||
Summary Text
|
summary_text | string |
The summary text. |
Retrieves the likelihood of classes of an input for sentiment-analysis.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Inputs
|
inputs | True | string |
The inputs. |
Use Cache
|
use_cache | boolean |
Whether to use cache. |
|
Wait For Model
|
wait_for_model | boolean |
Whether to wait for model. |
Returns
Name | Path | Type | Description |
---|---|---|---|
|
array of array | ||
items
|
array of object | ||
Label
|
label | string |
The label. |
Score
|
score | float |
The score. |
Retrieve a continuation of text from a prompt.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Inputs
|
inputs | string |
The inputs. |
|
Do Sample
|
do_sample | boolean |
Whether to do sample. |
|
Min Length
|
min_length | integer |
The minimum length. |
|
Max Length
|
max_length | integer |
The max length. |
|
Top Tokens
|
top_k | integer |
The top tokens considered. |
|
Top Probably
|
top_p | integer |
The top probably tokens. |
|
Temperature
|
temperature | float |
The temperature. |
|
Repetition Penalty
|
repetition_penalty | float |
The repetition penalty. |
|
Max Time
|
max_time | float |
The max time. |
|
Use Cache
|
use_cache | boolean |
Whether to use cache. |
|
Wait For Model
|
wait_for_model | boolean |
Whether to wait for model. |
Returns
Name | Path | Type | Description |
---|---|---|---|
|
array of object | ||
Generated Text
|
generated_text | string |
The generated text. |
Retrieve sentence parsing keywords contained within the text.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Inputs
|
inputs | True | string |
The inputs. |
Aggregation Strategy
|
aggregation_strategy | string |
The aggregation strategy. |
|
Use Cache
|
use_cache | boolean |
Whether to use cache. |
|
Wait For Model
|
wait_for_model | boolean |
Whether to wait for model. |
Returns
Name | Path | Type | Description |
---|---|---|---|
|
array of object | ||
Entity Group
|
entity_group | string |
The entity group. |
Score
|
score | float |
The score. |
Word
|
word | string |
The word. |
Start
|
start | integer |
The start. |
End
|
end | integer |
The end. |
Retrieve the results from a passed sentence/paragraph and the possible labels for that sentence.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Inputs
|
inputs | string |
The inputs. |
|
Candidate Labels
|
candidate_labels | array of string |
The candidate labels. |
|
Multi Label
|
multi_label | boolean |
Whether multi label. |
|
Use Cache
|
use_cache | boolean |
Whether to use cache. |
|
Wait For Model
|
wait_for_model | boolean |
Whether to wait for model. |
Returns
Name | Path | Type | Description |
---|---|---|---|
Sequence
|
sequence | string |
The sequence. |
Labels
|
labels | array of string |
The labels |
Scores
|
scores | array of float |
The scores. |
Retrieves translated text into German.
Parameters
Name | Key | Required | Type | Description |
---|---|---|---|---|
Inputs
|
inputs | True | string |
The inputs. |
Use Cache
|
use_cache | boolean |
Whether to use cache. |
|
Wait For Model
|
wait_for_model | boolean |
Whether to wait for model. |
Returns
Name | Path | Type | Description |
---|---|---|---|
|
array of object | ||
Translation Text
|
translation_text | string |
The translation text. |
This is the type 'object'.