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autotrain-pachyderm-1799762243
micole66/autotrain-pachyderm-1799762243
autotrain-pachyderm-1799762243 is a token classification model from micole66. Use it when you need labels on individual words, such as names. It is set up for transformers.
- Problem type: Entity Extraction - Model ID: 1799762243 - CO2 Emissions (in grams): 1.2406
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499
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Repo size
2.7 GB
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.bin1.3 GB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- Access
- Public
- Created
- Oct 18, 2022
- Updated
- Oct 18, 2022
- SHA
- 2c504ea3
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 1799762243
- CO2 Emissions (in grams): 1.2406
Validation Metrics
- Loss: 0.463
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- F1: 1.000
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/micole66/autotrain-pachyderm-1799762243
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("micole66/autotrain-pachyderm-1799762243", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("micole66/autotrain-pachyderm-1799762243", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Token Classification
- Library
- transformers
- Languages
- en
- Created
- Oct 18, 2022
- Updated
- Oct 18, 2022