Instructions to use emillykkejensen/daT5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emillykkejensen/daT5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("emillykkejensen/daT5-base") model = AutoModelForSeq2SeqLM.from_pretrained("emillykkejensen/daT5-base") - Notebooks
- Google Colab
- Kaggle
Quick Links
daT5-base
A smaller version of Google's mt5-base model, where the original model is reduced to only include Danish embeddings.
How to use
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("emillykkejensen/daT5-base")
model = AutoModel.from_pretrained("emillykkejensen/daT5-base")
Further reading
Gist showing (in Danish) how the embeddings are extracted
Article explaining how to do it by David Dale
Also check out
- Downloads last month
- 4
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("emillykkejensen/daT5-base") model = AutoModelForSeq2SeqLM.from_pretrained("emillykkejensen/daT5-base")