Instructions to use welyjesch/Enc_Tagalog_OrpheusTTS_3B_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use welyjesch/Enc_Tagalog_OrpheusTTS_3B_tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("welyjesch/Enc_Tagalog_OrpheusTTS_3B_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- special_tokens_map.json +7 -1
- tokenizer_config.json +1 -1
special_tokens_map.json
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@@ -16,5 +16,11 @@
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"rstrip": false,
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"single_word": false
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},
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-
"pad_token":
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}
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<custom_token_7>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer_config.json
CHANGED
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@@ -231535,7 +231535,7 @@
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| 231535 |
],
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"model_max_length": 131072,
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"pad_token": "<custom_token_7>",
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| 231538 |
-
"padding_side": "
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"tokenizer_class": "PreTrainedTokenizerFast",
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"unk_token": null
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}
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],
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"model_max_length": 131072,
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"pad_token": "<custom_token_7>",
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+
"padding_side": "left",
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"tokenizer_class": "PreTrainedTokenizerFast",
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| 231540 |
"unk_token": null
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}
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