Instructions to use AlexHung29629/mistral-processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexHung29629/mistral-processor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlexHung29629/mistral-processor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +2 -4
tokenizer_config.json
CHANGED
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@@ -169,7 +169,7 @@
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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-
"special":
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},
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"21": {
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"content": "</think>",
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@@ -177,7 +177,7 @@
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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-
"special":
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},
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"22": {
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"content": "<SPECIAL_22>",
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@@ -8025,8 +8025,6 @@
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"[SYSTEM_PROMPT]",
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"[/SYSTEM_PROMPT]",
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"[TOOL_CONTENT]",
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"<think>",
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"</think>",
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"<SPECIAL_22>",
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"<SPECIAL_23>",
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"<SPECIAL_24>",
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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+
"special": false
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},
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"21": {
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"content": "</think>",
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"normalized": false,
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| 178 |
"rstrip": false,
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"single_word": false,
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+
"special": false
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},
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"22": {
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"content": "<SPECIAL_22>",
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"[SYSTEM_PROMPT]",
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"[/SYSTEM_PROMPT]",
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"[TOOL_CONTENT]",
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| 8028 |
"<SPECIAL_22>",
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"<SPECIAL_23>",
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| 8030 |
"<SPECIAL_24>",
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