Summarization
Transformers
PyTorch
TensorBoard
Danish
mt5
text2text-generation
Generated from Trainer
Instructions to use RyeAI/DaMedSumT5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyeAI/DaMedSumT5-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/DaMedSumT5-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RyeAI/DaMedSumT5-large") model = AutoModelForSeq2SeqLM.from_pretrained("RyeAI/DaMedSumT5-large") - Notebooks
- Google Colab
- Kaggle
Commit ·
86d03e6
1
Parent(s): df33d0e
Update README.md
Browse files
README.md
CHANGED
|
@@ -17,9 +17,9 @@ language:
|
|
| 17 |
_____ ______ __ __ ______ _____ ______ __ __ __ __
|
| 18 |
/\ __-. /\ __ \ /\ "-./ \ /\ ___\ /\ __-. /\ ___\ /\ \/\ \ /\ "-./ \
|
| 19 |
\ \ \/\ \\ \ __ \\ \ \-./\ \\ \ __\ \ \ \/\ \\ \___ \\ \ \_\ \\ \ \-./\ \
|
| 20 |
-
\ \____- \ \_\ \_\\ \_\ \ \_\\ \_____\\ \____- \/\_____\\ \_____\\ \_\ \ \_\
|
| 21 |
-
\/____/ \/_/\/_/ \/_/ \/_/ \/_____/ \/____/ \/_____/ \/_____/ \/_/ \/_/
|
| 22 |
-
|
| 23 |
```
|
| 24 |
|
| 25 |
## Model description
|
|
@@ -31,8 +31,8 @@ This model is a fine-tuned version of mt5-large on a danish medical text dataset
|
|
| 31 |
The model was trained on 1 AMD MI250X GPU.
|
| 32 |
|
| 33 |
## Authors
|
| 34 |
-
Nicolaj Larsen,
|
| 35 |
-
Mikkel Kildeberg &
|
| 36 |
Emil Schledermann
|
| 37 |
|
| 38 |
### Framework versions
|
|
|
|
| 17 |
_____ ______ __ __ ______ _____ ______ __ __ __ __
|
| 18 |
/\ __-. /\ __ \ /\ "-./ \ /\ ___\ /\ __-. /\ ___\ /\ \/\ \ /\ "-./ \
|
| 19 |
\ \ \/\ \\ \ __ \\ \ \-./\ \\ \ __\ \ \ \/\ \\ \___ \\ \ \_\ \\ \ \-./\ \
|
| 20 |
+
\ \____- \ \_\ \_\\ \_\ \ \_\\ \_____\\ \____- \/\_____\\ \_____\\ \_\ \ \_\
|
| 21 |
+
\/____/ \/_/\/_/ \/_/ \/_/ \/_____/ \/____/ \/_____/ \/_____/ \/_/ \/_/
|
| 22 |
+
|
| 23 |
```
|
| 24 |
|
| 25 |
## Model description
|
|
|
|
| 31 |
The model was trained on 1 AMD MI250X GPU.
|
| 32 |
|
| 33 |
## Authors
|
| 34 |
+
Nicolaj Larsen,
|
| 35 |
+
Mikkel Kildeberg &
|
| 36 |
Emil Schledermann
|
| 37 |
|
| 38 |
### Framework versions
|