Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use undermachine/codet5_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use undermachine/codet5_finetuned with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("undermachine/codet5_finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("undermachine/codet5_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a26e234e8c3211a70b494fd5e117fe95e4ef6fc45d57b095627a3b859fe6ba3
- Size of remote file:
- 5.78 kB
- SHA256:
- 6e749b1d07d6bccf8910eb9760991078206b3046d23e3e24c3130592d4c62aad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.