Text Classification
Transformers
Joblib
Portuguese
streamlit
multi-label-classification
gradient-boosting
active-learning
bertimbau
municipal-documents
meeting-minutes
Instructions to use anonymous12321/Council_Topics_Classifier_PT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous12321/Council_Topics_Classifier_PT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anonymous12321/Council_Topics_Classifier_PT")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anonymous12321/Council_Topics_Classifier_PT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete models/gradient_boosting_gb_models.joblib
Browse files
models/gradient_boosting_gb_models.joblib
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:e18c5ce65f5ae08bdf910c5306f3502e7e9bea47879a5ca1b344aa9cb9c0bb43
|
| 3 |
-
size 29125596
|
|
|
|
|
|
|
|
|
|
|
|