Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use LogischeIP/BDS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LogischeIP/BDS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LogischeIP/BDS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LogischeIP/BDS") model = AutoModelForSequenceClassification.from_pretrained("LogischeIP/BDS") - Notebooks
- Google Colab
- Kaggle
Commit ·
f3a7570
1
Parent(s): 81db4b3
End of training
Browse files
README.md
CHANGED
|
@@ -38,7 +38,7 @@ The following hyperparameters were used during training:
|
|
| 38 |
- seed: 42
|
| 39 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 40 |
- lr_scheduler_type: linear
|
| 41 |
-
- num_epochs:
|
| 42 |
|
| 43 |
### Training results
|
| 44 |
|
|
|
|
| 38 |
- seed: 42
|
| 39 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 40 |
- lr_scheduler_type: linear
|
| 41 |
+
- num_epochs: 6
|
| 42 |
|
| 43 |
### Training results
|
| 44 |
|