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 pytorch_model.bin 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/pytorch_model.bin
- Command line
-
hf download hf://monsoon-nlp/dv-muril/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/monsoon-nlp/dv-muril/resolve/main/pytorch_model.bin
979 MB
- Xet hash:
- 702bbc2f449bf11d20ef4f2793dc0e97ed24f3a0be06d87ec2e7b79887abb075
- Size of remote file:
- 979 MB
- SHA256:
- 04350f04dc6d404800d3eaa95b895305c80d0d5443e41a14c64bb1c7583bb6f4
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