Video-Text-to-Text
Transformers
Safetensors
llava_next_video
image-text-to-text
llava
video
sign-language
multimodal
Instructions to use Remostart/sign-language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Remostart/sign-language with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Remostart/sign-language") model = AutoModelForMultimodalLM.from_pretrained("Remostart/sign-language", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 724 Bytes
7cf0fbe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"add_prefix_space": true,
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"image_token": "<image>",
"is_local": false,
"local_files_only": false,
"max_length": null,
"model_max_length": 10250,
"model_specific_special_tokens": {
"image_token": "<image>",
"video_token": "<video>"
},
"pad_to_multiple_of": null,
"pad_token": "<unk>",
"pad_token_type_id": 0,
"padding_side": "left",
"processor_class": "LlavaNextVideoProcessor",
"sp_model_kwargs": {},
"spaces_between_special_tokens": false,
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false,
"video_token": "<video>"
}
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