Instructions to use formermagic/codet5x-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/codet5x-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5x-base") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5x-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from formermagic/codet5x-base: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/formermagic/codet5x-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://formermagic/codet5x-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/formermagic/codet5x-base/resolve/main/flax_model.msgpack
990 MB
- Xet hash:
- 9e64224aafaa35ac71af76aed2fd3dabcc046493677cef4c0ffe1eaa17c5f5a8
- Size of remote file:
- 990 MB
- SHA256:
- 2f6923ab477815c77bc5b784a5726a95342232c84e491cf46366bdcacf4ea328
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.