Instructions to use eagerworks/eager-embed-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eagerworks/eager-embed-v1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Juan Pablo Balarini commited on
Commit ·
07dcbfc
1
Parent(s): 05ff23c
Fix wording on README
Browse files
README.md
CHANGED
|
@@ -28,7 +28,7 @@ Compared to multi-vector (ColBERT-like) architectures, eager-embed-v1 offers a s
|
|
| 28 |
|
| 29 |
## How to Get Started with the Model
|
| 30 |
|
| 31 |
-
Load the model and define
|
| 32 |
```python
|
| 33 |
import torch
|
| 34 |
from transformers import AutoProcessor, Qwen3VLForConditionalGeneration
|
|
|
|
| 28 |
|
| 29 |
## How to Get Started with the Model
|
| 30 |
|
| 31 |
+
Load the model and define a helper function to encode messages:
|
| 32 |
```python
|
| 33 |
import torch
|
| 34 |
from transformers import AutoProcessor, Qwen3VLForConditionalGeneration
|