Instructions to use versae/t5-3m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-3m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-3m") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-3m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10064dc30c38f377f45d16f0dfe69eb732ebf37c6150dee3ebace104ad21961c
- Size of remote file:
- 990 MB
- SHA256:
- 7bb2663f20614ff6298287520aba3802abbc8afbc0e20c81885a6b71eb897c06
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