Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Patcas/codet5-base-NoDoc-step-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/codet5-base-NoDoc-step-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/codet5-base-NoDoc-step-3") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/codet5-base-NoDoc-step-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Patcas/codet5-base-NoDoc-step-3: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Patcas/codet5-base-NoDoc-step-3/resolve/main/training_args.bin
- Command line
-
hf download hf://Patcas/codet5-base-NoDoc-step-3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Patcas/codet5-base-NoDoc-step-3/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- c01f2d168ef6d0501fe1d335705268d4a35bb320584eec54f78159d6db356693
- Size of remote file:
- 4.73 kB
- SHA256:
- 01c5c59ccccc94ece4cb94611784cddc777a8b322864557d4bed50fed96a7aa3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.