Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 2559178277
- CO2 Emissions (in grams): 20.4649
Validation Metrics
- Loss: 0.002
- Accuracy: 0.999
- Precision: 0.944
- Recall: 0.967
- F1: 0.955
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/teacookies/autotrain-21-12-2022_exam_part3-2559178277
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("teacookies/autotrain-21-12-2022_exam_part3-2559178277", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("teacookies/autotrain-21-12-2022_exam_part3-2559178277", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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