Instructions to use versae/t5-4m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-4m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-4m") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-4m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bae1b0642cc4d5db688a4aee5b298ed74c36d21fabddb534d1c7f03312d2c9cd
- Size of remote file:
- 990 MB
- SHA256:
- 294ffaf2800adb3104609eb3a1ee3a25c17057121d6f35886459a6049dfd4c8b
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