Instructions to use Ct1tz/Codebert-Base-B2D4G5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ct1tz/Codebert-Base-B2D4G5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ct1tz/Codebert-Base-B2D4G5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ct1tz/Codebert-Base-B2D4G5") model = AutoModelForSequenceClassification.from_pretrained("Ct1tz/Codebert-Base-B2D4G5") - Notebooks
- Google Colab
- Kaggle
Delete codebert-debug.zip
Browse files- codebert-debug.zip +0 -3
codebert-debug.zip
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:02e0e8fdca716b54c594a1670202512486ca597afd0f4ec9889c390760d6e904
|
| 3 |
-
size 13494
|
|
|
|
|
|
|
|
|
|
|
|