system's picture
system HF staff
Commit From AutoTrain
5df23c3
|
raw
history blame
1.14 kB
metadata
tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Lucifermorningstar011/autotrain-data-final
co2_eq_emissions: 0.8282546197737336

Model Trained Using AutoTrain

  • Problem type: Entity Extraction
  • Model ID: 784824209
  • CO2 Emissions (in grams): 0.8282546197737336

Validation Metrics

  • Loss: 0.18077287077903748
  • Accuracy: 0.9639925673427913
  • Precision: 0.0
  • Recall: 0.0
  • F1: 0.0

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/Lucifermorningstar011/autotrain-final-784824209

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("Lucifermorningstar011/autotrain-final-784824209", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Lucifermorningstar011/autotrain-final-784824209", use_auth_token=True)

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

outputs = model(**inputs)