Instructions to use damgomz/ThunBERT_bs8_lr4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damgomz/ThunBERT_bs8_lr4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="damgomz/ThunBERT_bs8_lr4")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("damgomz/ThunBERT_bs8_lr4") model = AutoModelForPreTraining.from_pretrained("damgomz/ThunBERT_bs8_lr4") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -98,3 +98,4 @@ Epoch | Train Loss | Test Loss
|
|
| 98 |
| 0.0 | 6.835651 | 13.557409 |
|
| 99 |
| 0.5 | 7.894119 | 7.782390 |
|
| 100 |
| 1.0 | 7.756104 | 7.761859 |
|
|
|
|
|
|
| 98 |
| 0.0 | 6.835651 | 13.557409 |
|
| 99 |
| 0.5 | 7.894119 | 7.782390 |
|
| 100 |
| 1.0 | 7.756104 | 7.761859 |
|
| 101 |
+
| 1.5 | 7.724590 | 7.737085 |
|