Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mcanoglu/microsoft-codebert-base-finetuned-defect-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcanoglu/microsoft-codebert-base-finetuned-defect-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mcanoglu/microsoft-codebert-base-finetuned-defect-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mcanoglu/microsoft-codebert-base-finetuned-defect-detection") model = AutoModelForSequenceClassification.from_pretrained("mcanoglu/microsoft-codebert-base-finetuned-defect-detection") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498612824
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a1bc2dca0f50287569786a43cf433da253793ae3592cf79bfab58c50765c89e
|
| 3 |
size 498612824
|
runs/Feb20_11-25-50_nvqoi6hvfq/events.out.tfevents.1708428350.nvqoi6hvfq.50.1
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:b165ea5676893573bf8a480b4e66ce76a2e03f205cedeec79e9e470eef56103c
|
| 3 |
+
size 6745
|