Visual Question Answering
Transformers
Safetensors
English
videollama2_mistral
text-generation
multimodal large language model
large video-language model
Instructions to use ccclemenfff/AVL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccclemenfff/AVL 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="ccclemenfff/AVL")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ccclemenfff/AVL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
fix data form support
614cc6d -
support path input from HF UI
b80570e -
change flash_attention_2 to eager
142339c -
fix: disable flash attention 2 for CLIPVisionModel
723daaf -
Disable Flash Attention for CLIP
e65359a -
Add videollama2 model code
2e0bbea -
add dependencies to requirements.txt
af262cd
-
Add custom handler and requirements
d4a7de9 -
Duplicate from DAMO-NLP-SG/VideoLLaMA2-7B-16F
Co-authored-by: Zesen Cheng <ClownRat@users.noreply.huggingface.co>9d75944