Instructions to use monsoon-nlp/muril-adapted-local with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monsoon-nlp/muril-adapted-local with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="monsoon-nlp/muril-adapted-local")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/muril-adapted-local") model = AutoModelForMaskedLM.from_pretrained("monsoon-nlp/muril-adapted-local") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6339f696086785f93f3e5966990946228acf0837329212a0df07b4d1bc1a13b9
- Size of remote file:
- 951 MB
- SHA256:
- 7a2c4a87a322a0a5fb8523c89c093f403c2f0242f817c80392af3e2bd8649429
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