Visual Question Answering
Transformers
Safetensors
English
videollama2_qwen2
text-generation
Audio-visual Question Answering
Audio Question Answering
multimodal large language model
Instructions to use lym0302/VideoLLaMA2.1-7B-AV-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lym0302/VideoLLaMA2.1-7B-AV-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="lym0302/VideoLLaMA2.1-7B-AV-QA")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("lym0302/VideoLLaMA2.1-7B-AV-QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 243 Bytes
5d465e5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"bos_token_id": 151643,
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"repetition_penalty": 1.05,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8,
"transformers_version": "4.42.3"
}
|