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autotrain-syn-46822115629
sxandie/autotrain-syn-46822115629
autotrain-syn-46822115629 is a token classification model from sxandie. Use it when you need labels on individual words, such as names. It is set up for transformers.
- Problem type: Entity Extraction - Model ID: 46822115629 - CO2 Emissions (in grams): 0.0041
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Repo size
882 MB
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 5, 2023
- Updated
- Apr 5, 2023
- SHA
- 31467e72
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 46822115629
- CO2 Emissions (in grams): 0.0041
Validation Metrics
- Loss: 0.147
- Accuracy: 0.967
- Precision: 0.586
- Recall: 0.603
- F1: 0.594
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/sxandie/autotrain-syn-46822115629
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("sxandie/autotrain-syn-46822115629", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("sxandie/autotrain-syn-46822115629", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Languages
- it
- Created
- Apr 5, 2023
- Updated
- Apr 5, 2023