Instructions to use monsoon-nlp/dv-muril with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monsoon-nlp/dv-muril with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="monsoon-nlp/dv-muril")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/dv-muril") model = AutoModelForMaskedLM.from_pretrained("monsoon-nlp/dv-muril", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from monsoon-nlp/dv-muril: direct link, hf CLI and curl.
- Browser
- Download file 979 MB
-
https://huggingface.co/monsoon-nlp/dv-muril/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://monsoon-nlp/dv-muril/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/monsoon-nlp/dv-muril/resolve/main/flax_model.msgpack
979 MB
- Xet hash:
- 12796794cbbe23942cc7d6d10909215343ff60c06000f742fe8d8fa29e1c36dc
- Size of remote file:
- 979 MB
- SHA256:
- 214108bb1e810e32ac300dce6780ad7a6ef505be3ebe150c00c6f19dab147e1e
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