Feature Extraction
Transformers
Safetensors
English
fuse_matcher
image-text-matching
flickr8k
cnn
vision-language
custom_code
Eval Results (legacy)
Instructions to use harpertoken/fuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harpertoken/fuse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="harpertoken/fuse", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harpertoken/fuse", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download fuse_examples.png from harpertoken/fuse: direct link, hf CLI and curl.
- Browser
- Download file 113 kB
-
https://huggingface.co/harpertoken/fuse/resolve/main/fuse_examples.png
- Command line
-
hf download hf://harpertoken/fuse/fuse_examples.png
-
curl -L -o fuse_examples.png https://huggingface.co/harpertoken/fuse/resolve/main/fuse_examples.png
113 kB

- Xet hash:
- 055a3366c4bad91db09e804cb0de609d5e51ad27f18209266779bf09c5485648
- Size of remote file:
- 113 kB
- SHA256:
- cf38fd3bed775756e091e0cbf106db5269bb6bbbca29a0656ce6000feeee3644
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