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autotrain-final_model-3026786824
Amal98/autotrain-final_model-3026786824
autotrain-final_model-3026786824 is a token classification model from Amal98. Use it when you need labels on individual words, such as names. It is set up for transformers.
- Problem type: Entity Extraction - Model ID: 3026786824 - CO2 Emissions (in grams): 3.5123
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Repo size
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 23, 2023
- Updated
- Jan 23, 2023
- SHA
- 75d31dc8
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 3026786824
- CO2 Emissions (in grams): 3.5123
Validation Metrics
- Loss: 0.221
- Accuracy: 0.940
- Precision: 0.557
- Recall: 0.509
- F1: 0.532
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/Amal98/autotrain-final_model-3026786824
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("Amal98/autotrain-final_model-3026786824", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Amal98/autotrain-final_model-3026786824", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Jan 23, 2023
- Updated
- Jan 23, 2023