Instructions to use geektech/t5-small-gpt4-ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geektech/t5-small-gpt4-ce with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("geektech/t5-small-gpt4-ce") model = AutoModelForSeq2SeqLM.from_pretrained("geektech/t5-small-gpt4-ce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a14b78c6962ca809a300e322e08d834a10d54a3195eab026e4d353f33f88789
- Size of remote file:
- 4.41 kB
- SHA256:
- 2b540c4472b351c87d8df73a51e0ba1fc243074df60c0e252908853c65e56cac
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.