digitalhealth-healthyliving
/

MediFlow

Text Classification

Inference Endpoints

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eperezs commited on Oct 1

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8ca0e9f

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1 Parent(s): f73559c

Update README.md

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@@ -16,7 +16,7 @@ Mediante el `pipeline` de Hugging Face:
 ```python
 from transformers import pipeline
-model_id = "eperezs/MediFlow"
 pipe = pipeline("text-classification", model_id, token = <your_token_here>)
 text = "I have pain in the back"
@@ -29,7 +29,7 @@ Mediante `AutoModelForSequenceClassification` y `AutoTokenizer`:
 ```python
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
-model_id = "eperezs/MediFlow"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForSequenceClassification.from_pretrained(model_id)

 ```python
 from transformers import pipeline
+model_id = "digitalhealth-healthyliving/MediFlow"
 pipe = pipeline("text-classification", model_id, token = <your_token_here>)
 text = "I have pain in the back"
 ```python
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
+model_id = "digitalhealth-healthyliving/MediFlow"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForSequenceClassification.from_pretrained(model_id)