metadata
tags:
- autotrain
- token-classification
language:
- unk
widget:
- text: I love AutoTrain 🤗
datasets:
- WilliamWen/autotrain-data-ni_io_03
co2_eq_emissions:
emissions: 0.002014133815227475
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 50535120664
- CO2 Emissions (in grams): 0.0020
Validation Metrics
- Loss: 0.027
- Accuracy: 0.991
- Precision: 0.908
- Recall: 0.908
- F1: 0.908
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/WilliamWen/autotrain-ni_io_03-50535120664
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("WilliamWen/autotrain-ni_io_03-50535120664", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("WilliamWen/ni_io_03", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)