Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Econlinguistics/regbert_multi_labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Econlinguistics/regbert_multi_labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Econlinguistics/regbert_multi_labels")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Econlinguistics/regbert_multi_labels") model = AutoModelForSequenceClassification.from_pretrained("Econlinguistics/regbert_multi_labels") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
runs/Oct29_10-40-07_82393c56152f/events.out.tfevents.1730198418.82393c56152f.234.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1707096a932ff527fc3c6ebbb4d759f27d509d449ee76bcfd3531deefa3a4fd1
|
| 3 |
+
size 6181
|