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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 473c48ce2506ff1592b3528cf07bbe1015d80c1bdc7bd05984440740b72ed370
- Size of remote file:
- 242 MB
- SHA256:
- 2146653081bf3bc4443972edc592c979501101e043d12ef08b19ed1c69b08e1e
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