Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Patcas/codet5-base-step-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/codet5-base-step-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/codet5-base-step-1") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/codet5-base-step-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Patcas/codet5-base-step-1: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Patcas/codet5-base-step-1/resolve/main/training_args.bin
- Command line
-
hf download hf://Patcas/codet5-base-step-1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Patcas/codet5-base-step-1/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 74091b8e4d751bf5985403de488d2177ff3e346767d2d1a021367a8fc6c87e33
- Size of remote file:
- 4.73 kB
- SHA256:
- 19a4e955f4005f40f571558d8cd29584754779015a4c1e83f514f38e3c6f554f
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