README.md

metadata

tags:
  - autotrain
  - token-classification
language:
  - unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Andrei95/autotrain-data-jobbert-10
co2_eq_emissions:
  emissions: 1.0574234641160183

Model Trained Using AutoTrain

• Problem type: Entity Extraction
• Model ID: 3660697741
• CO2 Emissions (in grams): 1.0574

Validation Metrics

• Loss: 0.175
• Accuracy: 0.935
• Precision: 0.299
• Recall: 0.442
• F1: 0.357

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/Andrei95/autotrain-jobbert-10-3660697741

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("Andrei95/autotrain-jobbert-10-3660697741", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Andrei95/autotrain-jobbert-10-3660697741", use_auth_token=True)

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

outputs = model(**inputs)