Instructions to use l3cube-pune/hindi-marathi-dev-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/hindi-marathi-dev-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/hindi-marathi-dev-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/hindi-marathi-dev-roberta") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/hindi-marathi-dev-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- Add multilingual to the language tag (c5d57890afeec09c4cf168881ceddca050841c12) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>e8d79c5
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