Instructions to use gsarti/imt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/imt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/imt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/imt5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30c4bc961e67018720aa130ed1da4cd59140c4bb70a4f442881a776b85919620
- Size of remote file:
- 3.94 MB
- SHA256:
- b5617b7ac5fb7e36e845459bea4614e0b3a29e71a624123fa89559479474ea11
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.