Instructions to use BlacqTangent/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlacqTangent/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BlacqTangent/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use BlacqTangent/lora_model with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for BlacqTangent/lora_model to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for BlacqTangent/lora_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for BlacqTangent/lora_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="BlacqTangent/lora_model", max_seq_length=2048, )
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- tokenizer.json +2 -2
- tokenizer_config.json +7 -1
tokenizer.json
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tokenizer_config.json
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"image_token": "<image_soft_token>"
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"image_token": "<image_soft_token>",
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"processor_class": "Gemma3Processor",
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"sp_model_kwargs": null,
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"spaces_between_special_tokens": false,
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"tokenizer_class": "GemmaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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"image_token": "<image_soft_token>"
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"image_token": "<image_soft_token>",
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"max_length": 2048,
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"model_max_length": 131072,
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"pad_to_multiple_of": null,
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"pad_token": "<pad>",
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"pad_token_type_id": 0,
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"padding_side": "left",
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"processor_class": "Gemma3Processor",
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"sp_model_kwargs": null,
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"spaces_between_special_tokens": false,
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"stride": 0,
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"tokenizer_class": "GemmaTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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