Instructions to use Lobus22/ELIXIA-IDENTITY-3.0-R8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lobus22/ELIXIA-IDENTITY-3.0-R8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lobus22/ELIXIA-IDENTITY-3.0-R8", 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
- tokenizer_config.json +1 -1
tokenizer_config.json
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@@ -8,7 +8,7 @@
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"is_local": false,
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"model_max_length": 32768,
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"pad_token": "<|vision_pad|>",
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-
"padding_side": "
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null,
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"is_local": false,
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"model_max_length": 32768,
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"pad_token": "<|vision_pad|>",
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+
"padding_side": "left",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null,
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