Instructions to use Elizaveta/2t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elizaveta/2t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Elizaveta/2t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Elizaveta/2t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42348ffbf390dee415587b3e0d995b30a41e3d111d1fe66c93eb4ccf5f9405e5
- Size of remote file:
- 1.12 GB
- SHA256:
- f6ff50a13c24626af1627f6868cdbe6a89a334d2ac58eeecb1b10ffb704bbb87
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.