Instructions to use versae/t5-6m-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-6m-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-6m-large") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-6m-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f872e163f75286354875933ce552e123535d8b4f7554301f09383594fa31a47
- Size of remote file:
- 3.13 GB
- SHA256:
- db9123152876d4e606268b94ad059042aa2f9a7942b36550199795917244b45f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.