Instructions to use Azirqui/codet5-python-doc-generator-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Azirqui/codet5-python-doc-generator-v2 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-doc-generator-v2") - Transformers
How to use Azirqui/codet5-python-doc-generator-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Azirqui/codet5-python-doc-generator-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Azirqui/codet5-python-doc-generator-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/Azirqui/codet5-python-doc-generator-v2/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Azirqui/codet5-python-doc-generator-v2/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Azirqui/codet5-python-doc-generator-v2/resolve/main/adapter_model.safetensors
2.37 MB
- Xet hash:
- 7288a31a254c55c7f7e802298f4e65a83ae372ff8312467e6854dacac072114f
- Size of remote file:
- 2.37 MB
- SHA256:
- a494431f5ab1ddd5148fbe0b7b82ef20622cf0ac61fe3c50e6b25257b33d1244
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