autonlp-bp-29016523 / README.md
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Commit From AutoNLP
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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - Jush/autonlp-data-bp
co2_eq_emissions: 3.273303707756322

Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 29016523
  • CO2 Emissions (in grams): 3.273303707756322

Validation Metrics

  • Loss: 0.6093757748603821
  • Accuracy: 0.8333333333333334
  • Macro F1: 0.7937936978656889
  • Micro F1: 0.8333333333333334
  • Weighted F1: 0.8239843785760546
  • Macro Precision: 0.8988882462566673
  • Micro Precision: 0.8333333333333334
  • Weighted Precision: 0.8404982541824647
  • Macro Recall: 0.7805142534864643
  • Micro Recall: 0.8333333333333334
  • Weighted Recall: 0.8333333333333334

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/Jush/autonlp-bp-29016523

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Jush/autonlp-bp-29016523", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Jush/autonlp-bp-29016523", use_auth_token=True)

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

outputs = model(**inputs)