Instructions to use EPINOIALabs/ob-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EPINOIALabs/ob-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EPINOIALabs/ob-lora", 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 +1 -1
- tokenizer_config.json +2 -2
special_tokens_map.json
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@@ -22,7 +22,7 @@
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"single_word": false
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},
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"pad_token": {
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"content": "<|
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"lstrip": false,
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"normalized": false,
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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": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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tokenizer_config.json
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@@ -199,8 +199,8 @@
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": {},
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-
"model_max_length":
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-
"pad_token": "<|
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"padding_side": "right",
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"processor_class": "Qwen2_5_VLProcessor",
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"split_special_tokens": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": {},
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"padding_side": "right",
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"processor_class": "Qwen2_5_VLProcessor",
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"split_special_tokens": false,
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