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 merger.zip from iamatif2003/Rubz: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/iamatif2003/Rubz/resolve/main/merger.zip
- Command line
-
hf download hf://iamatif2003/Rubz/merger.zip
-
curl -L -o merger.zip https://huggingface.co/iamatif2003/Rubz/resolve/main/merger.zip
1.22 GB
- Xet hash:
- 3454171347d7625430b3ff63c6f73408a206fec0af50dee434118a4ed6a4c0ae
- Size of remote file:
- 1.22 GB
- SHA256:
- c0af50c272cb38b85a500cd74352c594588a80fa675796d5cec8ddf65252e074
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