Instructions to use iamatif2003/Rubz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamatif2003/Rubz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="iamatif2003/Rubz")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iamatif2003/Rubz") model = AutoModel.from_pretrained("iamatif2003/Rubz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download multi_test_last_epho.zip from iamatif2003/Rubz: direct link, hf CLI and curl.
- Browser
- Download file 4.44 GB
-
https://huggingface.co/iamatif2003/Rubz/resolve/main/multi_test_last_epho.zip
- Command line
-
hf download hf://iamatif2003/Rubz/multi_test_last_epho.zip
-
curl -L -o multi_test_last_epho.zip https://huggingface.co/iamatif2003/Rubz/resolve/main/multi_test_last_epho.zip
4.44 GB
- Xet hash:
- 956bda85f43d2c001be4ef2d301025c20de3729d9ac825178f9c220392604d27
- Size of remote file:
- 4.44 GB
- SHA256:
- 090ce53b6c98693c78f64d87e0ea9eecadf5179abee8f01e391f994c14f12c9a
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