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
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license: mit
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base_model:
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- llava-hf/LLaVA-NeXT-Video-7B-hf
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pipeline_tag: video-text-to-text
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license: mit
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base_model: llava-hf/LLaVA-NeXT-Video-7B-hf
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pipeline_tag: video-text-to-text
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library_name: transformers
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tags:
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- llava
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- video
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- sign-language
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- multimodal
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---
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# Sign Language Translation Model (LLaVA Fine-tuned)
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This is a fine-tuned version of [LLaVA-NeXT-Video-7B](https://huggingface.co/llava-hf/LLaVA-NeXT-Video-7B-hf) for sign language translation.
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## Usage
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```python
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from transformers import LlavaNextVideoForConditionalGeneration, AutoProcessor
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import torch
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model = LlavaNextVideoForConditionalGeneration.from_pretrained("Remostart/sign-language")
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processor = AutoProcessor.from_pretrained("Remostart/sign-language")
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