Instructions to use peterjandre/codet5-vbnet-csharp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterjandre/codet5-vbnet-csharp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peterjandre/codet5-vbnet-csharp") model = AutoModelForSeq2SeqLM.from_pretrained("peterjandre/codet5-vbnet-csharp") - Notebooks
- Google Colab
- Kaggle
peterjandre/finetuned-codet5-vbnet-csharp
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 891558696
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e15298193fe0c4b59c1cba79dc02e9aecf0270e025bd807409df2c5c4931cf18
|
| 3 |
size 891558696
|