Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ultra-coder54732/comment-detection-prop-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ultra-coder54732/comment-detection-prop-16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ultra-coder54732/comment-detection-prop-16")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ultra-coder54732/comment-detection-prop-16") model = AutoModelForSequenceClassification.from_pretrained("ultra-coder54732/comment-detection-prop-16") - Notebooks
- Google Colab
- Kaggle
Commit ·
271f26d
1
Parent(s): d2cf463
update model card README.md
Browse files
README.md
CHANGED
|
@@ -37,7 +37,7 @@ The following hyperparameters were used during training:
|
|
| 37 |
- seed: 42
|
| 38 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 39 |
- lr_scheduler_type: linear
|
| 40 |
-
- num_epochs:
|
| 41 |
|
| 42 |
### Training results
|
| 43 |
|
|
|
|
| 37 |
- seed: 42
|
| 38 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 39 |
- lr_scheduler_type: linear
|
| 40 |
+
- num_epochs: 16
|
| 41 |
|
| 42 |
### Training results
|
| 43 |
|