Instructions to use OpenNMT/codet5p-770m-py-ct2-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenNMT/codet5p-770m-py-ct2-int8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("OpenNMT/codet5p-770m-py-ct2-int8") model = AutoModelForSeq2SeqLM.from_pretrained("OpenNMT/codet5p-770m-py-ct2-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 765ded237cc7dff68919b4db5a44876745d903c671c0f85bd0a587a91f97d46e
- Size of remote file:
- 740 MB
- SHA256:
- 807114eade4a3dd8097c4d830f1f2deee1effbf2da59c4e71cc0bd6c28cc2d5f
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