Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Alqayed2024/finetuning-code-summarization-3000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alqayed2024/finetuning-code-summarization-3000-samples with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Alqayed2024/finetuning-code-summarization-3000-samples") model = AutoModelForSeq2SeqLM.from_pretrained("Alqayed2024/finetuning-code-summarization-3000-samples") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc0bb02b62e63dcc0263579a0db7e913334519d3181bd617f62187c27304d973
- Size of remote file:
- 242 MB
- SHA256:
- 1ee8469f86cd0231aa02181ea9b9de7b0fcaa68248f1d47386948cda67feffc1
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