Video-Text-to-Text
Transformers
Safetensors
English
qwen3_5
image-text-to-text
video
multimodal
video-captioning
temporal-grounding
qwen
text-generation
VLM
gptq
4-bit precision
quantized
custom_code
Instructions to use prasannaJagadesh/marlin-2B-GPTQ-4BITS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prasannaJagadesh/marlin-2B-GPTQ-4BITS with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("prasannaJagadesh/marlin-2B-GPTQ-4BITS", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("prasannaJagadesh/marlin-2B-GPTQ-4BITS", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc4b40e10acbe443aee1327d005cde3bccedb4c6df83507dcda883dd8ff1b387
- Size of remote file:
- 2.4 GB
- SHA256:
- 3593bc7d6eee8d30cefade8ba50a2c2ba5f606ec9ad68d0bcabc70bff34ebbbe
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