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_mlb_encoder.joblib
Browse files
models/gradient_boosting_mlb_encoder.joblib
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:c7d0d548c66a4c312236484d1ac972be8b5617b4d7f6bd0e6c48484e20a7732c
|
| 3 |
-
size 1598
|
|
|
|
|
|
|
|
|
|
|
|