Instructions to use OpenNMT/codet5p-770m-ct2-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenNMT/codet5p-770m-ct2-int8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("OpenNMT/codet5p-770m-ct2-int8") model = AutoModelForSeq2SeqLM.from_pretrained("OpenNMT/codet5p-770m-ct2-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload Salesforce/codet5p-770m ctranslate2 weights
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Upload Salesforce/codet5p-770m ctranslate2 weights
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Upload Salesforce/codet5p-770m ctranslate2 weights
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initial commit
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