Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
multimodal
text-generation-inference
Instructions to use OpenGVLab/VideoChat-R1_5-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-R1_5-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("OpenGVLab/VideoChat-R1_5-7B") model = AutoModelForMultimodalLM.from_pretrained("OpenGVLab/VideoChat-R1_5-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from OpenGVLab/VideoChat-R1_5-7B: direct link, hf CLI and curl.
- Browser
- Download file 342 Bytes
-
https://huggingface.co/OpenGVLab/VideoChat-R1_5-7B/resolve/main/generation_config.json
- Command line
-
hf download hf://OpenGVLab/VideoChat-R1_5-7B/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/OpenGVLab/VideoChat-R1_5-7B/resolve/main/generation_config.json
342 Bytes
| { | |
| "attn_implementation": "flash_attention_2", | |
| "bos_token_id": 151643, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "repetition_penalty": 1.05, | |
| "temperature": 0.1, | |
| "top_k": 1, | |
| "top_p": 0.001, | |
| "transformers_version": "4.50.0", | |
| "use_cache": false, | |
| "use_sliding_window": true | |
| } | |