Instructions to use alexjercan/codebert-base-buggy-token-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexjercan/codebert-base-buggy-token-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alexjercan/codebert-base-buggy-token-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alexjercan/codebert-base-buggy-token-classification") model = AutoModelForTokenClassification.from_pretrained("alexjercan/codebert-base-buggy-token-classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
630c2ea
1
Parent(s): 66c0717
End of training
Browse files- pytorch_model.bin +1 -1
- training_args.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 496311025
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:53ad7064c5f34911b290db6d5278a0219b0883de0f6a201d6db9096accb98bfd
|
| 3 |
size 496311025
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2991
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e2a2e62f705b32c825c02316e4be090671a1eb6406f06ba454730d7b0a79b96
|
| 3 |
size 2991
|