Instructions to use Baicai003/tiny-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baicai003/tiny-clip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Baicai003/tiny-clip")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Baicai003/tiny-clip") model = AutoModel.from_pretrained("Baicai003/tiny-clip") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model-00002-of-00009.bin with huggingface_hub
Browse files
pytorch_model-00002-of-00009.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:77024650b75772cbda4adf09ebafcba349c4dcabc17255d02495c6e85f658704
|
| 3 |
+
size 1049989
|