autotrain-LegalLong_on_contracts-1230246837 – AI Model by jfan-98 | AlphaNeural AI

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jfan-98/
autotrain-LegalLong_on_contracts-1230246837

like

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text-classification

jfan-98/autotrain-data-LegalLong_on_contracts

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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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)