Instructions to use formermagic/codet5x-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/codet5x-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5x-small") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5x-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from formermagic/codet5x-small: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/formermagic/codet5x-small/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://formermagic/codet5x-small/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/formermagic/codet5x-small/resolve/main/flax_model.msgpack
308 MB
- Xet hash:
- 279ea28efef591284cbab1a620ba944072acd3574a16491a21a00c4f940327b7
- Size of remote file:
- 308 MB
- SHA256:
- 5c528f8d1f0f51fd5c07665f728b7dc19c0ee8146c9bc10c94beb0002339c0fd
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