Instructions to use k-partha/decision_bert_bio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k-partha/decision_bert_bio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="k-partha/decision_bert_bio")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("k-partha/decision_bert_bio") model = AutoModelForSequenceClassification.from_pretrained("k-partha/decision_bert_bio") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,10 +2,8 @@ Rates Twitter biographies on decision-making preference: Thinking or Feeling. Ro
|
|
| 2 |
|
| 3 |
Go to your Twitter profile, copy your biography and paste in the inference widget, remove any URLs and press hit!
|
| 4 |
|
| 5 |
-
Trained on self-described personality labels. Interpret as a continuous score, not as a discrete label.
|
| 6 |
|
| 7 |
-
|
| 8 |
-
Ellen DeGeneres: Extrovert
|
| 9 |
-
Naomi Osaka: Introvert
|
| 10 |
|
| 11 |
For further details and expected performance, read the [paper](https://arxiv.org/abs/2109.06402).
|
|
|
|
| 2 |
|
| 3 |
Go to your Twitter profile, copy your biography and paste in the inference widget, remove any URLs and press hit!
|
| 4 |
|
| 5 |
+
Trained on self-described personality labels. Interpret as a continuous score, not as a discrete label. Remember that models employ pure statistical reasoning (and may consequently make no sense sometimes.)
|
| 6 |
|
| 7 |
+
Have fun!
|
|
|
|
|
|
|
| 8 |
|
| 9 |
For further details and expected performance, read the [paper](https://arxiv.org/abs/2109.06402).
|