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ScarlettSun9
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autotrain-ZuoZhuan-1100540141

Token Classification
Transformers
PyTorch
Enawené-Nawé
roberta
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
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metadata
tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - ScarlettSun9/autotrain-data-ZuoZhuan
co2_eq_emissions: 8.343592303925112

Model Trained Using AutoTrain

  • Problem type: Entity Extraction
  • Model ID: 1100540141
  • CO2 Emissions (in grams): 8.343592303925112

Validation Metrics

  • Loss: 0.38094884157180786
  • Accuracy: 0.8795777325860159
  • Precision: 0.8171375141922127
  • Recall: 0.8417033571821684
  • F1: 0.8292385373953709

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/ScarlettSun9/autotrain-ZuoZhuan-1100540141

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("ScarlettSun9/autotrain-ZuoZhuan-1100540141", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ScarlettSun9/autotrain-ZuoZhuan-1100540141", use_auth_token=True)

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

outputs = model(**inputs)