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autotrain-tk-1181244086
Shenzy2/autotrain-tk-1181244086
autotrain-tk-1181244086 is a token classification model from Shenzy2. Use it when you need labels on individual words, such as names. It is set up for transformers.
- Problem type: Entity Extraction - Model ID: 1181244086 - CO2 Emissions (in grams): 0.004663044473485149
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 26, 2022
- Updated
- Jul 26, 2022
- SHA
- 0c8aa0eb
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Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 1181244086
- CO2 Emissions (in grams): 0.004663044473485149
Validation Metrics
- Loss: 0.5532978773117065
- Accuracy: 0.8263097949886105
- Precision: 0.5104166666666666
- Recall: 0.4681528662420382
- F1: 0.4883720930232558
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/Shenzy2/autotrain-tk-1181244086
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("Shenzy2/autotrain-tk-1181244086", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Shenzy2/autotrain-tk-1181244086", 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
- Jul 26, 2022
- Updated
- Jul 26, 2022