Instructions to use Azirqui/codet5-python-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Azirqui/codet5-python-summarizer 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") - Transformers
How to use Azirqui/codet5-python-summarizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Azirqui/codet5-python-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Azirqui/codet5-python-summarizer: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/Azirqui/codet5-python-summarizer/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Azirqui/codet5-python-summarizer/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Azirqui/codet5-python-summarizer/resolve/main/adapter_model.safetensors
2.37 MB
- Xet hash:
- 47f42b49d7f9d8f5fbec934923762aec65fc56c799b94790e928a260acb78979
- Size of remote file:
- 2.37 MB
- SHA256:
- 9d3b1ffa4f73c2abec50dfb07a0256cc35811a6275acbe93bf6992d6cf6fc11f
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