Instructions to use vanch007/FunCineForge-mlx-qwen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vanch007/FunCineForge-mlx-qwen2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir FunCineForge-mlx-qwen2 vanch007/FunCineForge-mlx-qwen2
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
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| "version": "1.0", | |
| "truncation": null, | |
| "padding": null, | |
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| "content": "<|endoftext|>", | |
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| "special": true | |
| } | |
| ], | |
| "normalizer": { | |
| "type": "NFC" | |
| }, | |
| "pre_tokenizer": { | |
| "type": "Sequence", | |
| "pretokenizers": [ | |
| { | |
| "type": "Split", | |
| "pattern": { | |
| "Regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+" | |
| }, | |
| "behavior": "Isolated", | |
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| "post_processor": { | |
| "type": "TemplateProcessing", | |
| "single": [ | |
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| "Sequence": { | |
| "id": "A", | |
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| "pair": [ | |
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| "decoder": { | |
| "type": "ByteLevel", | |
| "add_prefix_space": true, | |
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| "model": { | |
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| "unk_token": null, | |
| "continuing_subword_prefix": "", | |
| "end_of_word_suffix": "", | |
| "fuse_unk": false, | |
| "byte_fallback": false, | |
| "ignore_merges": false, | |
| "vocab": { | |
| "<|endoftext|>": 0 | |
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| "merges": [] | |
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