Model Trained

Problem type: Multi-class Classification
Model ID: pe-llm-0.1
CO2 Emissions (in grams): 0.0221

Validation Metrics

Loss: 0.841
Accuracy: 0.761
Macro F1: 0.644
Micro F1: 0.761
Weighted F1: 0.750
Macro Precision: 0.679
Micro Precision: 0.761
Weighted Precision: 0.748
Macro Recall: 0.635
Micro Recall: 0.761
Weighted Recall: 0.761

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 AutoTrain"}' https://api-inference.huggingface.co/models/kolkata97/autotrain-pe-llm-0.6-89942144050

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("kolkata97/autotrain-pe-llm-0.6-89942144050", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("kolkata97/autotrain-pe-llm-0.6-89942144050", use_auth_token=True)

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

outputs = model(**inputs)