metadata

tags: autonlp
language: bn
widget:
  - text: I love AutoNLP 🤗
datasets:
  - albertvillanova/autonlp-data-wikiann-entity_extraction-1e67664

Model Trained Using AutoNLP

Problem type: Entity Extraction
Model ID: 1301123

Validation Metrics

Loss: 0.14097803831100464
Accuracy: 0.9740097463451206
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 AutoNLP"}' https://api-inference.huggingface.co/models/albertvillanova/autonlp-wikiann-entity_extraction-1e67664-1301123

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("albertvillanova/autonlp-wikiann-entity_extraction-1e67664-1301123", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("albertvillanova/autonlp-wikiann-entity_extraction-1e67664-1301123", use_auth_token=True)

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

outputs = model(**inputs)