Text Classification
Transformers
Safetensors
English
bert
legal
indian-law
judgment-prediction
legal-nlp
inlegalbert
Eval Results (legacy)
text-embeddings-inference
Instructions to use ManasDubey/legally-ai-predex-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManasDubey/legally-ai-predex-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ManasDubey/legally-ai-predex-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ManasDubey/legally-ai-predex-classifier") model = AutoModelForSequenceClassification.from_pretrained("ManasDubey/legally-ai-predex-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8171545669af5d46c48aa6cc51e72d291ebfe349cfbf4ebcf2d36428278b1df1
- Size of remote file:
- 438 MB
- SHA256:
- 1367655fea618a94f4457c7eb9d5a88f939f42fbb22feeacf31e79134721ba6e
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