Instructions to use ppak10/defect-classification-scibert-baseline-25-epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ppak10/defect-classification-scibert-baseline-25-epochs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ppak10/defect-classification-scibert-baseline-25-epochs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 25
Browse files- classification_head.pt +1 -1
- model.safetensors +1 -1
classification_head.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 13920
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e40d6eff33d6d509b05da205f6f693d343ff9d74b3a26102d009cf414db7f89f
|
| 3 |
size 13920
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 439710888
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:589edb82a200470c5906282c145bab3e663b4a5a0f968226bf3688d23891ff20
|
| 3 |
size 439710888
|