Instructions to use prachuryyaIITG/CLASSER_Marathi_MuRIL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prachuryyaIITG/CLASSER_Marathi_MuRIL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="prachuryyaIITG/CLASSER_Marathi_MuRIL")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("prachuryyaIITG/CLASSER_Marathi_MuRIL") model = AutoModelForTokenClassification.from_pretrained("prachuryyaIITG/CLASSER_Marathi_MuRIL") - Notebooks
- Google Colab
- Kaggle
Add `library_name: transformers` to metadata
#1
by nielsr HF Staff - opened
Hi there! I'm Niels from the Hugging Face community science team.
This PR adds the library_name: transformers metadata to your model card. This will enable the "Use in Transformers" button and generate automated code snippets for your model, making it more accessible to the community.
Everything else in your model card looks excellent!
prachuryyaIITG changed pull request status to merged