Instructions to use google/muril-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/muril-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google/muril-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google/muril-base-cased") model = AutoModelForMaskedLM.from_pretrained("google/muril-base-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72509ed4ae521cbf886842301a59583553eae0822d780d292fd4135e536a7855
- Size of remote file:
- 1.56 GB
- SHA256:
- 309c169a97534f335823e2be39fd85315f228012a68a4cefb5bc8f9c7dcd0aa0
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