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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/dv-muril") model = AutoModelForMaskedLM.from_pretrained("monsoon-nlp/dv-muril") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12796794cbbe23942cc7d6d10909215343ff60c06000f742fe8d8fa29e1c36dc
- Size of remote file:
- 979 MB
- SHA256:
- 214108bb1e810e32ac300dce6780ad7a6ef505be3ebe150c00c6f19dab147e1e
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