Instructions to use nadiamaqbool81/codet5-large-hf-python_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nadiamaqbool81/codet5-large-hf-python_new with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nadiamaqbool81/codet5-large-hf-python_new") model = AutoModelForSeq2SeqLM.from_pretrained("nadiamaqbool81/codet5-large-hf-python_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfa3e61aa1a1edf3511f2d6430a1da7b3c768b1daf758db024685bbcbb2a0881
- Size of remote file:
- 1.88 GB
- SHA256:
- 9216adb6784fbd1279f0092419bc16c3a7e37802b6386d829cbd843b3564f496
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