Instructions to use opencampus/sign-whisper-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use opencampus/sign-whisper-german with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("opencampus/sign-whisper-german", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Christopher H. commited on
Update README.md
Browse files
README.md
CHANGED
|
@@ -55,6 +55,7 @@ torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
|
|
| 55 |
|
| 56 |
config = AutoConfig.from_pretrained(
|
| 57 |
"mrprimenotes/sign-whisper-german",
|
|
|
|
| 58 |
use_first_embeddings=True,
|
| 59 |
embedding_stride=2,
|
| 60 |
conv_dropout=0.1,
|
|
|
|
| 55 |
|
| 56 |
config = AutoConfig.from_pretrained(
|
| 57 |
"mrprimenotes/sign-whisper-german",
|
| 58 |
+
trust_remote_code=True,
|
| 59 |
use_first_embeddings=True,
|
| 60 |
embedding_stride=2,
|
| 61 |
conv_dropout=0.1,
|