Instructions to use formermagic/codet5-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/codet5-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/codet5-xl") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/codet5-xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a924a5f4a55e00a87fc36f7363460b29669a5ef266a4fff537939cbf7232d33
- Size of remote file:
- 11.4 GB
- SHA256:
- d8c61065d4ec338a77ac772ea7fafd78b740887c35181edcb3c25205a8d649b6
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