Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ecwk/starencoder-vulnfix-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ecwk/starencoder-vulnfix-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ecwk/starencoder-vulnfix-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ecwk/starencoder-vulnfix-classification") model = AutoModelForSequenceClassification.from_pretrained("ecwk/starencoder-vulnfix-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Edison commited on
Commit ·
f443e36
1
Parent(s): 9671e20
Training in progress, epoch 3
Browse files- pytorch_model.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 496820017
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b52f0d4bfcbf8adb4b36aa562e1b2c92e5c42157965d3b0f9ffaf9f5efeb8d8e
|
| 3 |
size 496820017
|