Instructions to use antolin/codet5_python-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antolin/codet5_python-150 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("antolin/codet5_python-150") model = AutoModelForSeq2SeqLM.from_pretrained("antolin/codet5_python-150", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from antolin/codet5_python-150: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/antolin/codet5_python-150/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://antolin/codet5_python-150@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/antolin/codet5_python-150/resolve/refs%2Fpr%2F1/model.safetensors
892 MB
- Xet hash:
- 3717031d51b45513cb58d150a28ecbf6b176b042c47ed453b56ee859c4baeae9
- Size of remote file:
- 892 MB
- SHA256:
- a40038ec8caf9b39b5e4de8f84d837dcf1213a77d091374c8ac0b8f8c99b1ffb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.