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 pytorch_model.bin 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/pytorch_model.bin
- Command line
-
hf download hf://deepampatel/roberta-mlm-marathi/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/deepampatel/roberta-mlm-marathi/resolve/main/pytorch_model.bin
504 MB
- Xet hash:
- b144792a4e4698b8b13aadfc0cedf5757828ebc72cc813b13b2fd3e9a871d52a
- Size of remote file:
- 504 MB
- SHA256:
- 26e0c98a7076bc0f43be09e651b331d65e4dba080cbe58f05753b8a49de141e6
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