Instructions to use google/muril-large-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/muril-large-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/muril-large-cased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/muril-large-cased") model = AutoModel.from_pretrained("google/muril-large-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
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by patrickvonplaten - opened
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tokenizer_config.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "strip_accents": false, "lowercase": false, "do_lower_case": false}
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "strip_accents": false, "lowercase": false, "do_lower_case": false, "model_max_length": 512}
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