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 chicks_HFbackup.zip from iamatif2003/Rubz: direct link, hf CLI and curl.
- Browser
- Download file 1.57 GB
-
https://huggingface.co/iamatif2003/Rubz/resolve/main/chicks_HFbackup.zip
- Command line
-
hf download hf://iamatif2003/Rubz/chicks_HFbackup.zip
-
curl -L -o chicks_HFbackup.zip https://huggingface.co/iamatif2003/Rubz/resolve/main/chicks_HFbackup.zip
1.57 GB
- Xet hash:
- 2b6fbc4eb6d7b5249aaa7aefaceb3cbecbff24e7a9f43f00a4a30654b95ab0dd
- Size of remote file:
- 1.57 GB
- SHA256:
- bf3b627ef9fbc1d08c6da9e6aeb942a4914731902bc1d24a2585778322eea2a1
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