Instructions to use Salesforce/blip-itm-base-flickr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/blip-itm-base-flickr with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, BlipForImageTextRetrieval processor = AutoProcessor.from_pretrained("Salesforce/blip-itm-base-flickr") model = BlipForImageTextRetrieval.from_pretrained("Salesforce/blip-itm-base-flickr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.34b3d26
-
Update README.md
1de29e6
-
Add TF weights (#2)
- Add TF weights (343c618636ab33884df6c28e3e9468dc5d882b31) Co-authored-by: Matthew Carrigan <Rocketknight1@users.noreply.huggingface.co>705e1a1
-
Update README.md
4b99004
-
Create README.md
cdf1155 -
Upload processor
1a1cb7b -
Upload BlipForImageTextRetrieval
97a67e7 -
initial commit
Younes Belkada49d82fc