Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use xshubhamx/IndianLegalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xshubhamx/IndianLegalBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xshubhamx/IndianLegalBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xshubhamx/IndianLegalBERT") model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/IndianLegalBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55daac00db047a36125b7a74f74400261d16b54cb7f108ca2918531558035a0c
- Size of remote file:
- 4.92 kB
- SHA256:
- 7008362d7c037fee167e42158aa31b52c9af7ab82e5e68c644dba07582cfe746
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