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:
# pip install -U transformers accelerate # 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
Download training_args.bin from Alqayed2024/finetuning-code-summarization-3000-samples: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Alqayed2024/finetuning-code-summarization-3000-samples/resolve/abe7e669bee43b62002caeebb01ffed3d985f064/training_args.bin
- Command line
-
hf download hf://Alqayed2024/finetuning-code-summarization-3000-samples@abe7e669bee43b62002caeebb01ffed3d985f064/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Alqayed2024/finetuning-code-summarization-3000-samples/resolve/abe7e669bee43b62002caeebb01ffed3d985f064/training_args.bin
5.18 kB
- Xet hash:
- 43d109cd3876ae09092b8c5c64727c5c95f831c8fb11bba51812bc061d805e00
- Size of remote file:
- 5.18 kB
- SHA256:
- 91349c4768ae813ed6d01dc579c865af3a54232e72b068bcfcd3cf32f264ba0f
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