Instructions to use q3fer/distilbert-base-fallacy-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use q3fer/distilbert-base-fallacy-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="q3fer/distilbert-base-fallacy-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("q3fer/distilbert-base-fallacy-classification") model = AutoModelForSequenceClassification.from_pretrained("q3fer/distilbert-base-fallacy-classification") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -29,7 +29,7 @@ pipe(text)
|
|
| 29 |
|
| 30 |
## Full Classification Example
|
| 31 |
|
| 32 |
-
```
|
| 33 |
import torch
|
| 34 |
from transformers import AutoTokenizer
|
| 35 |
from transformers import AutoModelForSequenceClassification
|
|
|
|
| 29 |
|
| 30 |
## Full Classification Example
|
| 31 |
|
| 32 |
+
```python
|
| 33 |
import torch
|
| 34 |
from transformers import AutoTokenizer
|
| 35 |
from transformers import AutoModelForSequenceClassification
|