Video-Text-to-Text
Transformers
Safetensors
English
internvl_chat
feature-extraction
multimodal
custom_code
Eval Results (legacy)
Instructions to use OpenGVLab/InternVL_2_5_HiCo_R64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/InternVL_2_5_HiCo_R64 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/InternVL_2_5_HiCo_R64", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card with Updates, Model Zoo, and Training information
#3
by nielsr HF Staff - opened
This PR significantly improves the model card by:
- Updating the title to reflect the broader InternVideo2.5 project name for clarity.
- Adding an "Updates" section to keep users informed about recent developments.
- Replacing the simple "Performance" table with a comprehensive "Model Zoo" table, which provides performance metrics and Hugging Face links for various related models within the InternVideo2.5 family.
- Including a "Training" section with a link to the finetuning code, enhancing reproducibility and utility for researchers.
These changes leverage the rich information available in the project's GitHub repository to make the Hugging Face model card a more complete and valuable resource.