Instructions to use addy88/code-t5-ruby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/code-t5-ruby with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("addy88/code-t5-ruby") model = AutoModelForSeq2SeqLM.from_pretrained("addy88/code-t5-ruby", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from addy88/code-t5-ruby: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/addy88/code-t5-ruby/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://addy88/code-t5-ruby/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/addy88/code-t5-ruby/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 72d1f253315385c439ca4ea0c016cab1086e435f193429f1c893a36959f7584f
- Size of remote file:
- 242 MB
- SHA256:
- 09e83148199be0f1294eef0bbdea4ecb574e8728aaa1b7c0ce7df2929ad9938a
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