Instructions to use tdickson17/Populism_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tdickson17/Populism_detection 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="tdickson17/Populism_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tdickson17/Populism_detection") model = AutoModelForSeq2SeqLM.from_pretrained("tdickson17/Populism_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,13 +2,12 @@
|
|
| 2 |
library_name: transformers
|
| 3 |
pipeline_tag: summarization
|
| 4 |
widget:
|
| 5 |
-
- text:
|
| 6 |
-
|
| 7 |
-
- text: >-
|
| 8 |
-
classify_populism: Paste a press release here…
|
| 9 |
---
|
| 10 |
|
| 11 |
|
|
|
|
| 12 |
# Populism Detection & Summarization
|
| 13 |
|
| 14 |
This checkpoint is a BART-based, LoRA-fine-tuned model that does two things:
|
|
|
|
| 2 |
library_name: transformers
|
| 3 |
pipeline_tag: summarization
|
| 4 |
widget:
|
| 5 |
+
- text: "summarize: Paste a press release here…"
|
| 6 |
+
- text: "classify_populism: Paste a press release here…"
|
|
|
|
|
|
|
| 7 |
---
|
| 8 |
|
| 9 |
|
| 10 |
+
|
| 11 |
# Populism Detection & Summarization
|
| 12 |
|
| 13 |
This checkpoint is a BART-based, LoRA-fine-tuned model that does two things:
|