Instructions to use Vincent-Xiao/codebert-curs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vincent-Xiao/codebert-curs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Vincent-Xiao/codebert-curs")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Vincent-Xiao/codebert-curs") model = AutoModel.from_pretrained("Vincent-Xiao/codebert-curs") - Notebooks
- Google Colab
- Kaggle
Commit ·
0a09c73
1
Parent(s): b417cfd
Upload pytorch_model.bin
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
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 sha256:24e379d97f83e7f29799c62c0bfaf696e014d0ca8c9332edce85ae501816cf17
|
| 3 |
+
size 501059943
|