Instructions to use nadiamaqbool81/codet5-large-hf-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nadiamaqbool81/codet5-large-hf-python with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nadiamaqbool81/codet5-large-hf-python") model = AutoModelForSeq2SeqLM.from_pretrained("nadiamaqbool81/codet5-large-hf-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8760b149bc52c224896df041f561589f9e375ccfba5c58052407a8d99164ee0
- Size of remote file:
- 1.88 GB
- SHA256:
- 22fb0b50f263248b3f09eb3d7336f4798ac0383d498e3506933907aca6152fee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.