Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,40 @@
|
|
1 |
---
|
2 |
license: gemma
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: gemma
|
3 |
+
library_name: colpali
|
4 |
+
base_model: vidore/colpaligemma-3b-pt-448-base
|
5 |
+
language:
|
6 |
+
- en
|
7 |
+
tags:
|
8 |
+
- colpali
|
9 |
+
datasets:
|
10 |
+
- vidore/colpali_train_set
|
11 |
---
|
12 |
+
|
13 |
+
# ColPali: Visual Retriever based on PaliGemma-3B with ColBERT strategy (merged, `state_dict` only)
|
14 |
+
|
15 |
+
> [!WARNING]
|
16 |
+
> WARNING: This repository should only be used to convert the original ColPali weights to the Hf version of Colpali.
|
17 |
+
|
18 |
+
State dict was exported from [`vidore/colpali-v1.2-merged`](https://huggingface.co/vidore/colpali-v1.2-merged). The model was loaded using the following code:
|
19 |
+
|
20 |
+
```python
|
21 |
+
# Get the device
|
22 |
+
device = "mps"
|
23 |
+
|
24 |
+
# Define dtype
|
25 |
+
dtype_precision = torch.bfloat16
|
26 |
+
|
27 |
+
# Load the original model and state_dict
|
28 |
+
model = (
|
29 |
+
cast(
|
30 |
+
ColPali,
|
31 |
+
ColPali.from_pretrained(
|
32 |
+
"vidore/colpali-v1.2-merged",
|
33 |
+
torch_dtype=dtype_precision,
|
34 |
+
device_map=device,
|
35 |
+
),
|
36 |
+
)
|
37 |
+
.to(dtype_precision)
|
38 |
+
.eval()
|
39 |
+
)
|
40 |
+
```
|