Instructions to use versae/t5-2m-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-2m-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-2m-large") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-2m-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c1073228684dbc4d122fea934e9ea217093c22912889cf3db5d6ab6d45bd868
- Size of remote file:
- 3.13 GB
- SHA256:
- 889a65f1e30e27f125fe833c9aac926272294d7568704c0b829b7165764f406f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.