Instructions to use tlkh/code-byt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tlkh/code-byt5-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tlkh/code-byt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("tlkh/code-byt5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tlkh/code-byt5-large: direct link, hf CLI and curl.
- Browser
- Download file 3.7 kB
-
https://huggingface.co/tlkh/code-byt5-large/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://tlkh/code-byt5-large@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tlkh/code-byt5-large/resolve/refs%2Fpr%2F1/training_args.bin
3.7 kB
- Xet hash:
- 519017a0b54d48b3ff0504f708f74e0ca6f1a869d73d15147dc6f834a8a75e87
- Size of remote file:
- 3.7 kB
- SHA256:
- 80972243b193bbd4296ba990e9d076fd393b55f194be822fec252f1b4fbabf01
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