Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 1279048948
- CO2 Emissions (in grams): 12.1686
Validation Metrics
- Loss: 0.152
- Accuracy: 0.959
- Precision: 0.879
- Recall: 0.880
- F1: 0.879
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/shreyas-singh/autotrain-MedicalTokenClassification-1279048948
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("shreyas-singh/autotrain-MedicalTokenClassification-1279048948", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("shreyas-singh/autotrain-MedicalTokenClassification-1279048948", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.