Hugging Face's logo

abhishek
/
autonlp-prodigy-10-3362554

Token Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
Model card Files Community
1
autonlp-prodigy-10-3362554 / README.md
abhishek's picture
abhishek HF staff
Commit From AutoNLP
f0cd009
preview code
|
raw history blame contribute delete
No virus
1.12 kB
metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - abhishek/autonlp-data-prodigy-10
co2_eq_emissions: 5.340540212393564

Model Trained Using AutoNLP

  • Problem type: Entity Extraction
  • Model ID: 3362554
  • CO2 Emissions (in grams): 5.340540212393564

Validation Metrics

  • Loss: 0.14167872071266174
  • Accuracy: 0.9587076867229332
  • Precision: 0.7351351351351352
  • Recall: 0.7923728813559322
  • F1: 0.7626816212082591

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/abhishek/autonlp-prodigy-10-3362554

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("abhishek/autonlp-prodigy-10-3362554", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("abhishek/autonlp-prodigy-10-3362554", use_auth_token=True)

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

outputs = model(**inputs)