Instructions to use l3cube-pune/assamese-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/assamese-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="l3cube-pune/assamese-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/assamese-bert") model = AutoModelForMaskedLM.from_pretrained("l3cube-pune/assamese-bert") - Notebooks
- Google Colab
- Kaggle
Commit ·
48317e2
1
Parent(s): 1129ef1
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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@@ -9,7 +9,7 @@
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": "
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"strip_accents": false,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": "special_tokens_map.json",
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"strip_accents": false,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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