Instructions to use oddadmix/Nawah-BERT-6M-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oddadmix/Nawah-BERT-6M-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="oddadmix/Nawah-BERT-6M-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("oddadmix/Nawah-BERT-6M-v2") model = AutoModelForMaskedLM.from_pretrained("oddadmix/Nawah-BERT-6M-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer_config.json
Browse files- tokenizer_config.json +12 -0
tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<s>",
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"eos_token": "</s>",
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"is_local": true,
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"local_files_only": false,
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"mask_token": "<mask>",
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"model_max_length": 2048,
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"pad_token": "<pad>",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "<unk>"
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}
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