Instructions to use Azirqui/codet5-python-summarizer-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Azirqui/codet5-python-summarizer-v4 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-small") model = PeftModel.from_pretrained(base_model, "Azirqui/codet5-python-summarizer-v4") - Transformers
How to use Azirqui/codet5-python-summarizer-v4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Azirqui/codet5-python-summarizer-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Azirqui/codet5-python-summarizer-v4: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/Azirqui/codet5-python-summarizer-v4/resolve/main/tokenizer.json
- Command line
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hf download hf://Azirqui/codet5-python-summarizer-v4/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Azirqui/codet5-python-summarizer-v4/resolve/main/tokenizer.json
1.37 MB
File too large to display, you can check the raw version instead.