Instructions to use Elod1e/llava-lingala-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elod1e/llava-lingala-ft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Elod1e/llava-lingala-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 556 Bytes
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"add_prefix_space": null,
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"image_token": "<image>",
"is_local": false,
"legacy": false,
"model_max_length": 1000000000000000019884624838656,
"model_specific_special_tokens": {
"image_token": "<image>"
},
"pad_token": "<pad>",
"padding_side": "left",
"processor_class": "LlavaProcessor",
"sp_model_kwargs": {},
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
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