Feature Extraction
Transformers
Khmer
khmer
tokenization
graph-regularization
sentencepiece
nlp
semantic-embeddings
Instructions to use khopilot/khmer-tokenizer-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khopilot/khmer-tokenizer-v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="khopilot/khmer-tokenizer-v7")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("khopilot/khmer-tokenizer-v7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer_config.json with huggingface_hub
Browse files- tokenizer_config.json +16 -0
tokenizer_config.json
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{
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"model_type": "sentencepiece",
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"tokenizer_class": "PreTrainedTokenizerFast",
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"vocab_size": 8000,
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"model_max_length": 512,
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"bos_token": "<s>",
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"eos_token": "</s>",
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"unk_token": "<unk>",
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"add_bos_token": false,
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"add_eos_token": false,
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"clean_up_tokenization_spaces": true,
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"legacy": true,
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"name_or_path": "khopilot/khmer-tokenizer-v7"
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}
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