Instructions to use diversen/google-t5_t5-small_da_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diversen/google-t5_t5-small_da_en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("diversen/google-t5_t5-small_da_en") model = AutoModelForSeq2SeqLM.from_pretrained("diversen/google-t5_t5-small_da_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d50fa88cb51c7dbf49a1786dfc470e7e469a510cd113986cfd46ac52441b743
- Size of remote file:
- 5.11 kB
- SHA256:
- 6c9b30b6f73221fd386ab6ec8d2086075ea0bfedce3a09bd5c6f2e06148becd8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.