Instructions to use formermagic/codet5-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/codet5-xl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5-xl") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5-xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from formermagic/codet5-xl: direct link, hf CLI and curl.
- Browser
- Download file 11.4 GB
-
https://huggingface.co/formermagic/codet5-xl/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://formermagic/codet5-xl/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/formermagic/codet5-xl/resolve/main/flax_model.msgpack
11.4 GB
- Xet hash:
- 1483ffb20b44f8dfb737650454a9492c1cc6bdcf52629e8711cccf38f6f38ecf
- Size of remote file:
- 11.4 GB
- SHA256:
- baf2d254457cc36a8ebf7b857b0a8720e4901c3d1908eeaea3227637d2cd330b
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