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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pruthwik/ilid-muril-model") model = AutoModelForSequenceClassification.from_pretrained("pruthwik/ilid-muril-model") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag, usage example, and project link
#1
by nielsr HF Staff - opened
This PR enhances the model card for the ILID model by:
- Adding
pipeline_tag: text-classificationto 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.
Done
pruthwik changed pull request status to closed