Instructions to use michaelfeil/colbert-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/colbert-tiny-random with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, HF_ColBERT tokenizer = AutoTokenizer.from_pretrained("michaelfeil/colbert-tiny-random") model = HF_ColBERT.from_pretrained("michaelfeil/colbert-tiny-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from michaelfeil/colbert-tiny-random: direct link, hf CLI and curl.
- Browser
- Download file 4.29 MB
-
https://huggingface.co/michaelfeil/colbert-tiny-random/resolve/main/model.safetensors
- Command line
-
hf download hf://michaelfeil/colbert-tiny-random/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/michaelfeil/colbert-tiny-random/resolve/main/model.safetensors
4.29 MB
- Xet hash:
- 7733cfc987ab539dc80c671395fe1a612755732bfe938ffdb97718d1b518c3c5
- Size of remote file:
- 4.29 MB
- SHA256:
- f57426d0e4e2d0c9cb0b68f8591a47f921712590be1f1166fbc5aae626356827
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