Instructions to use l3cube-pune/hing-mbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/hing-mbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/hing-mbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/hing-mbert") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/hing-mbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add multilingual to the language tag
Hi! A PR to add multilingual to the language tag to improve the referencing.3ae6131
-
Update README.md
21d8cb4
-
Update README.md
2eed935 -
Update README.md
5db28d6
-
Update README.md
f452c31
-
Create README.md
582affc
-
Update model files
d1fa70a
-
Update model files
4ad6a12 -
Update model files
d6246ed -
initial commit
4dde328