README.md

metadata

tags:
  - autotrain
  - token-classification
language:
  - unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - tinyYhorm/autotrain-data-2-xlmr-r
co2_eq_emissions:
  emissions: 1.191588461069133

Model Trained Using AutoTrain

• Problem type: Entity Extraction
• Model ID: 53880126783
• CO2 Emissions (in grams): 1.1916

Validation Metrics

• Loss: 0.186
• Accuracy: 0.957
• Precision: 0.872
• Recall: 0.877
• F1: 0.875

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/tinyYhorm/autotrain-2-xlmr-r-53880126783

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("tinyYhorm/autotrain-2-xlmr-r-53880126783", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("tinyYhorm/autotrain-2-xlmr-r-53880126783", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)