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 model.safetensors from addy88/code-t5-ruby: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/addy88/code-t5-ruby/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://addy88/code-t5-ruby@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/addy88/code-t5-ruby/resolve/refs%2Fpr%2F1/model.safetensors
242 MB
- Xet hash:
- 98ab8e48dc31b8b6fc70d08521b89b2a19561d132c57e509b269f62fd19c9d72
- Size of remote file:
- 242 MB
- SHA256:
- 51a984b623933be4c856bd3b7971fd25bd269a818e1ef0b7fba2a3cc151dfc6e
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