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autotrain-test-token-classification-68284137539
PhaniManda/autotrain-test-token-classification-68284137539
autotrain-test-token-classification-68284137539 is a token classification model from PhaniManda. Use it when you need labels on individual words, such as names. It is set up for transformers.
- Problem type: Entity Extraction - Model ID: 68284137539 - CO2 Emissions (in grams): 0.0937
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 68284137539
- CO2 Emissions (in grams): 0.0937
Validation Metrics
- Loss: 1.234
- Accuracy: 0.579
- Precision: 0.395
- Recall: 0.270
- F1: 0.321
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/PhaniManda/autotrain-test-token-classification-68284137539
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("PhaniManda/autotrain-test-token-classification-68284137539", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("PhaniManda/autotrain-test-token-classification-68284137539", 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
- Jun 22, 2023
- Updated
- Jun 22, 2023