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pujaburman30
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autotrain-hi_ner_xlmr-869827677

Token Classification
Transformers
PyTorch
Enawené-Nawé
xlm-roberta
Trained with AutoTrain
Inference Endpoints
Model card Files Community
autotrain-hi_ner_xlmr-869827677 / README.md
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metadata
tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - pujaburman30/autotrain-data-hi_ner_xlmr
co2_eq_emissions: 4.365496441173981

Model Trained Using AutoTrain

  • Problem type: Entity Extraction
  • Model ID: 869827677
  • CO2 Emissions (in grams): 4.365496441173981

Validation Metrics

  • Loss: 0.894961416721344
  • Accuracy: 0.7411180773249739
  • Precision: 0.590625
  • Recall: 0.5080645161290323
  • F1: 0.546242774566474

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/pujaburman30/autotrain-hi_ner_xlmr-869827677

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("pujaburman30/autotrain-hi_ner_xlmr-869827677", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("pujaburman30/autotrain-hi_ner_xlmr-869827677", use_auth_token=True)

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

outputs = model(**inputs)