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autotrain-nes_en-63509135536
peanutacake/autotrain-nes_en-63509135536
autotrain-nes_en-63509135536 is a token classification model from peanutacake. Use it when you need labels on individual words, such as names. It is set up for transformers.
- Problem type: Entity Extraction - Model ID: 63509135536 - CO2 Emissions (in grams): 0.1134
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 63509135536
- CO2 Emissions (in grams): 0.1134
Validation Metrics
- Loss: 0.568
- Accuracy: 0.829
- Precision: 0.648
- Recall: 0.508
- F1: 0.570
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/peanutacake/autotrain-nes_en-63509135536
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("peanutacake/autotrain-nes_en-63509135536", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("peanutacake/autotrain-nes_en-63509135536", 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 1, 2023
- Updated
- Jun 1, 2023