Instructions to use sharoz/codet5-small-custom-functions-dataset-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharoz/codet5-small-custom-functions-dataset-python with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sharoz/codet5-small-custom-functions-dataset-python") model = AutoModelForSeq2SeqLM.from_pretrained("sharoz/codet5-small-custom-functions-dataset-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b101ec1248c8ca44a6e05219a3debae39599b6e0d72475d06b140fd5246910e
- Size of remote file:
- 242 MB
- SHA256:
- 74591585e45d79af08dab57dabfd9ef638bd972806245c516f1ec65b09b9479c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.