Instructions to use baskra/tiny-random-Blip2Model-opt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baskra/tiny-random-Blip2Model-opt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="baskra/tiny-random-Blip2Model-opt")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("baskra/tiny-random-Blip2Model-opt") model = AutoModel.from_pretrained("baskra/tiny-random-Blip2Model-opt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from baskra/tiny-random-Blip2Model-opt: direct link, hf CLI and curl.
- Browser
- Download file 757 kB
-
https://huggingface.co/baskra/tiny-random-Blip2Model-opt/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://baskra/tiny-random-Blip2Model-opt/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/baskra/tiny-random-Blip2Model-opt/resolve/main/pytorch_model.bin
757 kB
- Xet hash:
- a5680d886e524db11af5d076dd50df86ce0e143b05c4d8d47bc8ba8f42a5a00a
- Size of remote file:
- 757 kB
- SHA256:
- 02009de55b7764e38919b4bce78f4da743a84c338bb7954fbd70971ea4089bac
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