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
File size: 268 Bytes
815986b | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"backend": "tokenizers",
"bos_token": "<s>",
"eos_token": "</s>",
"is_local": true,
"local_files_only": false,
"mask_token": "<mask>",
"model_max_length": 2048,
"pad_token": "<pad>",
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>"
}
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