Instructions to use cjvt/muril-en-hi-codemixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/muril-en-hi-codemixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cjvt/muril-en-hi-codemixed")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cjvt/muril-en-hi-codemixed") model = AutoModelForMaskedLM.from_pretrained("cjvt/muril-en-hi-codemixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11f0d092c6e88e584e8adbbf55d7b1aebbf426e703fb4e1cdf90483340cba487
- Size of remote file:
- 234 MB
- SHA256:
- 264d3ef4865c70c2e1ebdc80a4a7fbc03d1c85038c9172f1dca553227f72bc3c
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