Text Classification
Transformers
PyTorch
Safetensors
Portuguese
Trained with AutoTrain
Eval Results (legacy)
Instructions to use inctdd/told_br_binary_sm_bertimbau with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inctdd/told_br_binary_sm_bertimbau with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="inctdd/told_br_binary_sm_bertimbau")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inctdd/told_br_binary_sm_bertimbau", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
8ab719d
1
Parent(s): a30264b
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,6 +10,28 @@ datasets:
|
|
| 10 |
- alexandreteles/autotrain-data-told_br_binary_sm_bertimbau
|
| 11 |
co2_eq_emissions:
|
| 12 |
emissions: 1.778776476039011
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
---
|
| 14 |
|
| 15 |
# Model Trained Using AutoTrain
|
|
|
|
| 10 |
- alexandreteles/autotrain-data-told_br_binary_sm_bertimbau
|
| 11 |
co2_eq_emissions:
|
| 12 |
emissions: 1.778776476039011
|
| 13 |
+
model-index:
|
| 14 |
+
- name: told_br_binary_sm_bertimbau
|
| 15 |
+
results:
|
| 16 |
+
- task:
|
| 17 |
+
type: binary-classification
|
| 18 |
+
name: Binary Classification
|
| 19 |
+
dataset:
|
| 20 |
+
type: told-br
|
| 21 |
+
name: told-br
|
| 22 |
+
metrics:
|
| 23 |
+
- type: accuracy
|
| 24 |
+
value: 0.815
|
| 25 |
+
name: Accuracy
|
| 26 |
+
verified: true
|
| 27 |
+
- type: f1
|
| 28 |
+
value: 0.793
|
| 29 |
+
name: F1
|
| 30 |
+
verified: true
|
| 31 |
+
- type: roc_auc
|
| 32 |
+
value: 0.895
|
| 33 |
+
name: AUC
|
| 34 |
+
verified: true
|
| 35 |
---
|
| 36 |
|
| 37 |
# Model Trained Using AutoTrain
|