Instructions to use HuyTran1301/CodeT5p-ModelPhase2-01072025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuyTran1301/CodeT5p-ModelPhase2-01072025 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HuyTran1301/CodeT5p-ModelPhase2-01072025") model = AutoModelForSeq2SeqLM.from_pretrained("HuyTran1301/CodeT5p-ModelPhase2-01072025", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download loss_plot.png from HuyTran1301/CodeT5p-ModelPhase2-01072025: direct link, hf CLI and curl.
- Browser
- Download file 37.7 kB
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https://huggingface.co/HuyTran1301/CodeT5p-ModelPhase2-01072025/resolve/main/loss_plot.png
- Command line
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hf download hf://HuyTran1301/CodeT5p-ModelPhase2-01072025/loss_plot.png
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curl -L -o loss_plot.png https://huggingface.co/HuyTran1301/CodeT5p-ModelPhase2-01072025/resolve/main/loss_plot.png
37.7 kB
