Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 1230246837
• CO2 Emissions (in grams): 47.6481

Validation Metrics

• Loss: 0.265
• Accuracy: 0.943
• Macro F1: 0.944
• Micro F1: 0.943
• Weighted F1: 0.943
• Macro Precision: 0.947
• Micro Precision: 0.943
• Weighted Precision: 0.944
• Macro Recall: 0.943
• Micro Recall: 0.943
• Weighted Recall: 0.943

- Macro F1: 0.944

- Micro F1: 0.943

- Macro Precision: 0.947

- Micro Precision: 0.943

- Macro Recall: 0.943

- Micro Recall: 0.943

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/jfan-98/autotrain-LegalLong_on_contracts-1230246837

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("jfan-98/autotrain-LegalLong_on_contracts-1230246837", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("jfan-98/autotrain-LegalLong_on_contracts-1230246837", use_auth_token=True)

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

outputs = model(**inputs)