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
- Xet hash:
- 2404fe7e574ea3661b280c139b992842db2e6c4e0fde7633ae543f18d0a044d9
- Size of remote file:
- 308 MB
- SHA256:
- 41170ccce55ffff8eb412399f3a91338fef465c20b08696b761e43354df72034
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