Update README.md
Browse files
README.md
CHANGED
@@ -56,7 +56,17 @@ The model card has been written in combination by the Hugging Face team and Inte
|
|
56 |
|
57 |
### How to use
|
58 |
|
59 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
60 |
|
61 |
```python
|
62 |
from transformers import DPTImageProcessor, DPTForDepthEstimation
|
|
|
56 |
|
57 |
### How to use
|
58 |
|
59 |
+
The easiest is leveraging the pipeline API:
|
60 |
+
|
61 |
+
```
|
62 |
+
from transformers import pipeline
|
63 |
+
|
64 |
+
pipe = pipeline(task="depth-estimation", model="Intel/dpt-large")
|
65 |
+
result = pipe(image)
|
66 |
+
result["depth"]
|
67 |
+
```
|
68 |
+
|
69 |
+
In case you want to implement the entire logic yourself, here's how to do that for zero-shot depth estimation on an image:
|
70 |
|
71 |
```python
|
72 |
from transformers import DPTImageProcessor, DPTForDepthEstimation
|