Instructions to use prachuryyaIITG/CLASSER_Assamese_MuRIL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prachuryyaIITG/CLASSER_Assamese_MuRIL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="prachuryyaIITG/CLASSER_Assamese_MuRIL")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("prachuryyaIITG/CLASSER_Assamese_MuRIL") model = AutoModelForTokenClassification.from_pretrained("prachuryyaIITG/CLASSER_Assamese_MuRIL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add library_name and improve external project links
Verified signatureHi, I'm Niels from the Hugging Face community team. I'm opening this PR to enhance the model card for better discoverability and usability. The changes include: - Adding `library_name: transformers` to the metadata. This enables the "Use in Transformers" code snippet on the model page, making it easier for users to get started with the model. - Improving the visibility of external project links (paper, GitHub repository, and interactive demo) by moving them to a dedicated section at the top of the model card. This makes it easier for users to quickly find relevant resources. - Removing the redundant link line from the "Contributors" section, as the links are now prominently featured. Thank you for your excellent work on the AWED-FiNER collection!6f7152c -
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