Visual Question Answering
Transformers
Safetensors
Chinese
English
QH_360VL
text-generation
custom_code
Instructions to use qihoo360/360VL-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qihoo360/360VL-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="qihoo360/360VL-8B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("qihoo360/360VL-8B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7873cd48057986e91e65291e5bad8806e82c61842888bde74e5227ccc6606b5
- Size of remote file:
- 4.98 GB
- SHA256:
- ecd95a8decd9193c4d5e62cd3e2310705ab0578ad3b70dca419ecdcc4db07070
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