Instructions to use geektech/t5base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geektech/t5base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("geektech/t5base") model = AutoModelForSeq2SeqLM.from_pretrained("geektech/t5base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6da5fb9b955b3f250228f1bdef95905ee63f3f5a62eb0691a9f55b4c2af847a5
- Size of remote file:
- 4.41 kB
- SHA256:
- 55ab42f3d2772a4b619167ed8c8f367b360cf20dda0545bcc0e9b36cbd771c60
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