metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - kSaluja/autonlp-data-tele_red_data_model
co2_eq_emissions: 2.379476355147211

Model Trained Using AutoNLP

Problem type: Entity Extraction
Model ID: 585716433
CO2 Emissions (in grams): 2.379476355147211

Validation Metrics

Loss: 0.15210922062397003
Accuracy: 0.9724770642201835
Precision: 0.950836820083682
Recall: 0.9625838333921638
F1: 0.9566742676723382

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 AutoNLP"}' https://api-inference.huggingface.co/models/kSaluja/autonlp-tele_red_data_model-585716433

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("kSaluja/autonlp-tele_red_data_model-585716433", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("kSaluja/autonlp-tele_red_data_model-585716433", use_auth_token=True)

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

outputs = model(**inputs)