Visual Question Answering
Transformers
Safetensors
Chinese
English
QH_360VL
text-generation
custom_code
Instructions to use ecfirst/360VL_PHI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ecfirst/360VL_PHI 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="ecfirst/360VL_PHI", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ecfirst/360VL_PHI", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00003-of-00004.safetensors from ecfirst/360VL_PHI: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/ecfirst/360VL_PHI/resolve/main/model-00003-of-00004.safetensors
- Command line
-
hf download hf://ecfirst/360VL_PHI/model-00003-of-00004.safetensors
-
curl -L -o model-00003-of-00004.safetensors https://huggingface.co/ecfirst/360VL_PHI/resolve/main/model-00003-of-00004.safetensors
4.92 GB
- Xet hash:
- 303e329111c0f3dd061f57c8b77eb15df737f101d69a7ff82889bfa450125949
- Size of remote file:
- 4.92 GB
- SHA256:
- 962a9bfede9380c2670709835b9a965e6fb5135de2545e5730b7683a5eed9621
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