Instructions to use l3cube-pune/hing-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/hing-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/hing-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/hing-roberta") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/hing-roberta") - Notebooks
- Google Colab
- Kaggle
Commit ·
2a57a29
1
Parent(s): f6e96b2
Add multilingual to the language tag (#1)
Browse files- Add multilingual to the language tag (8fe0bc1add4ee418608672cd4ccfc09ecbd048db)
Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>