Instructions to use orkg/R0_contribution_IE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orkg/R0_contribution_IE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("orkg/R0_contribution_IE") model = AutoModelForSeq2SeqLM.from_pretrained("orkg/R0_contribution_IE") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -6,5 +6,5 @@ widget:
|
|
| 6 |
---
|
| 7 |
|
| 8 |
|
| 9 |
-
This model is a fine-tuned version of google/flan-t5-large on
|
| 10 |
-
It produces structured summaries in JSON format from paper's context (title and abstract).
|
|
|
|
| 6 |
---
|
| 7 |
|
| 8 |
|
| 9 |
+
This model is a fine-tuned version of google/flan-t5-large on scholarly articles in virology.
|
| 10 |
+
It produces structured summaries in JSON format from paper's context (title and abstract) for the research theme 'R0 value on infectious diseases.
|