Instructions to use deepampatel/roberta-mlm-marathi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepampatel/roberta-mlm-marathi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="deepampatel/roberta-mlm-marathi")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("deepampatel/roberta-mlm-marathi") model = AutoModelForMaskedLM.from_pretrained("deepampatel/roberta-mlm-marathi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from deepampatel/roberta-mlm-marathi: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/deepampatel/roberta-mlm-marathi/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://deepampatel/roberta-mlm-marathi/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/deepampatel/roberta-mlm-marathi/resolve/main/flax_model.msgpack
504 MB
- Xet hash:
- e79500591cea22040bf71f26f732db645fb4cba5eaaf08a34372c44ffc00bf7a
- Size of remote file:
- 504 MB
- SHA256:
- c08f00dc2c52bdb1796b5661194f0289ed3df4191964e143ac314221b96cccbc
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