Instructions to use prachuryyaIITG/APTFiNER_Bodo_MuRIL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prachuryyaIITG/APTFiNER_Bodo_MuRIL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="prachuryyaIITG/APTFiNER_Bodo_MuRIL")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("prachuryyaIITG/APTFiNER_Bodo_MuRIL") model = AutoModelForTokenClassification.from_pretrained("prachuryyaIITG/APTFiNER_Bodo_MuRIL") - Notebooks
- Google Colab
- Kaggle
Add library_name, correct pretty_name, and improve model card
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community science team.
I noticed this model is part of the AWED-FiNER collection and is compatible with the Transformers library. I've opened this PR to:
- Add
library_name: transformersto the metadata to enable the automated code snippets and "Use in Transformers" button on the Hub. - Correct the
pretty_namein the metadata from "Tamil" to "Bodo" to accurately reflect the language (brx) and training data described in the model card. - Ensure the associated paper is clearly linked for better discoverability.
prachuryyaIITG changed pull request status to merged