Model Trained Using AutoNLP

Problem type: Entity Extraction
Model ID: 19126711
CO2 Emissions (in grams): 1.8458289701133035

Validation Metrics

Loss: 0.054593171924352646
Accuracy: 0.9790668170284748
Precision: 0.8029411764705883
Recall: 0.6026490066225165
F1: 0.6885245901639344

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/testing/autonlp-ingredient_sentiment_analysis-19126711

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("testing/autonlp-ingredient_sentiment_analysis-19126711", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("testing/autonlp-ingredient_sentiment_analysis-19126711", use_auth_token=True)

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

outputs = model(**inputs)