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 training_args.bin from deepampatel/roberta-mlm-marathi: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/deepampatel/roberta-mlm-marathi/resolve/main/training_args.bin
- Command line
-
hf download hf://deepampatel/roberta-mlm-marathi/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/deepampatel/roberta-mlm-marathi/resolve/main/training_args.bin
1.78 kB
- Xet hash:
- 95793225bcee4c4f686d8039233756dd98690a68751abdab272d7bad01b58bc1
- Size of remote file:
- 1.78 kB
- SHA256:
- d69b49830699ce5dca4c6586babfb28b0cf7ccb64191b2fd08d234158fde85d1
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