Instructions to use MBZUAI/Video-ChatGPT-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MBZUAI/Video-ChatGPT-7B with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("visual-question-answering", model="MBZUAI/Video-ChatGPT-7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MBZUAI/Video-ChatGPT-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download video_chatgpt-7B.bin from MBZUAI/Video-ChatGPT-7B: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/MBZUAI/Video-ChatGPT-7B/resolve/refs%2Fpr%2F1/video_chatgpt-7B.bin
- Command line
-
hf download hf://MBZUAI/Video-ChatGPT-7B@refs/pr/1/video_chatgpt-7B.bin
-
curl -L -o video_chatgpt-7B.bin https://huggingface.co/MBZUAI/Video-ChatGPT-7B/resolve/refs%2Fpr%2F1/video_chatgpt-7B.bin
541 MB
- Xet hash:
- 5b1b2c899b3a17ca718fcd6ccfe172b9d1cda9285882f93a7810bef5cae7f5dd
- Size of remote file:
- 541 MB
- SHA256:
- c5d78b70ca98dd8ae06cfc0f49b3fd7a7057dcfdddb33a19736fea9e7eabaff8
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