Instructions to use l3cube-pune/hing-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/hing-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/hing-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/hing-bert") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/hing-bert") - Notebooks
- Google Colab
- Kaggle
Commit ·
0ceab78
1
Parent(s): 3af169f
Add multilingual to the language tag (#1)
Browse files- Add multilingual to the language tag (cc11e8bd660c4fbb0935288a5d662411bf199437)
Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>