Instructions to use DarshanDeshpande/marathi-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarshanDeshpande/marathi-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DarshanDeshpande/marathi-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DarshanDeshpande/marathi-distilbert") model = AutoModelForMaskedLM.from_pretrained("DarshanDeshpande/marathi-distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e38a2d2133b8cf89169831d13b33787d07db5508bb00686371ad83e06ee4b2b4
- Size of remote file:
- 359 MB
- SHA256:
- 25ef18343ba1e37e4062bfafc57220e462858ae2c4032b92b72bad1972ba7d11
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