Instructions to use pruthwik/ilid-muril-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pruthwik/ilid-muril-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pruthwik/ilid-muril-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pruthwik/ilid-muril-model") model = AutoModelForSequenceClassification.from_pretrained("pruthwik/ilid-muril-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card: Add pipeline tag, usage example, and project link
Verified signatureThis PR enhances the model card for the ILID model by: * Adding `pipeline_tag: text-classification` to improve discoverability. * Including a Python code snippet for easy inference. * Adding a link to the official project page. * Adding relevant tags. * Minor improvements to the description and formatting.f7305a2
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Updated
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Pushing the fine-tuned model
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initial commit
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