Instructions to use Yati05/TF-CodeT5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yati05/TF-CodeT5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Yati05/TF-CodeT5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Yati05/TF-CodeT5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Yati05/TF-CodeT5-base: direct link, hf CLI and curl.
- Browser
- Download file 1.09 GB
-
https://huggingface.co/Yati05/TF-CodeT5-base/resolve/main/tf_model.h5
- Command line
-
hf download hf://Yati05/TF-CodeT5-base/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Yati05/TF-CodeT5-base/resolve/main/tf_model.h5
1.09 GB
- Xet hash:
- 1f76ffdcefc841ab47959a6c345f092479e39d8a5e168b3f0cbc2793951e109a
- Size of remote file:
- 1.09 GB
- SHA256:
- b1683882ff3fd3430c82278143598082a8a4572e7dd84d8e956584cd5af258af
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