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
Upload model.safetensors with huggingface_hub
Browse files- model.safetensors +3 -0
model.safetensors
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