Instructions to use BAAI/EVA-CLIP-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/EVA-CLIP-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/EVA-CLIP-8B", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("BAAI/EVA-CLIP-8B", trust_remote_code=True) model = AutoModel.from_pretrained("BAAI/EVA-CLIP-8B", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model-00004-of-00004.bin
Browse files
pytorch_model-00004-of-00004.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a0999855c09e668e3a2fd1a72d35cdbed97e6d27b7ffde9d82c871b936730e69
|
| 3 |
+
size 3182146573
|