Summarization
Transformers
PyTorch
TensorBoard
Danish
mt5
text2text-generation
Generated from Trainer
Instructions to use RyeAI/DaMedSum-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyeAI/DaMedSum-large with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="RyeAI/DaMedSum-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RyeAI/DaMedSum-large") model = AutoModelForSeq2SeqLM.from_pretrained("RyeAI/DaMedSum-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
5bacc52
-
Update README.md
a5473c6 -
Update README.md
b71db0e
-
Update README.md
45db536
-
update model card README.md
75568bd -
End of training
a0b7b33 -
Training in progress, step 1000
00ad23b -
Training in progress, step 500
1ed61ab -
initial commit
1630b76