Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Commit
•
a47ca85
1
Parent(s):
5e69434
fix url
Browse files
app.py
CHANGED
@@ -164,7 +164,7 @@ with gr.Blocks() as demo:
|
|
164 |
You can use this to test out [image classification models](https://huggingface.co/models?pipeline_tag=image-classification) on the Hugging Face Hub:
|
165 |
- To use this tab you will need to have a Hugging Face account and a valid token.
|
166 |
- You can get a token from your [Hugging Face account page](https://huggingface.co/settings/token).
|
167 |
-
- Input this token into the token box and then input a valid image classification model id from the Hub. For example `microsoft/resnet-50`. You can use the [Hub](
|
168 |
|
169 |
This tab uses Hugging Face's [Inference API](https://huggingface.co/docs/api-inference/index) to make predictions. It will randomly select 10 images from your dataset and make predictions on them using your chosen model.
|
170 |
**Please note** the predictions will take some time since the model needs to be loaded for inference first. If you make a second batch of prediction using the same model the predictions should be quicker."""
|
|
|
164 |
You can use this to test out [image classification models](https://huggingface.co/models?pipeline_tag=image-classification) on the Hugging Face Hub:
|
165 |
- To use this tab you will need to have a Hugging Face account and a valid token.
|
166 |
- You can get a token from your [Hugging Face account page](https://huggingface.co/settings/token).
|
167 |
+
- Input this token into the token box and then input a valid image classification model id from the Hub. For example `microsoft/resnet-50`. You can use the [Hub](https://huggingface.co/models?pipeline_tag=image-classification) to find suitable models.
|
168 |
|
169 |
This tab uses Hugging Face's [Inference API](https://huggingface.co/docs/api-inference/index) to make predictions. It will randomly select 10 images from your dataset and make predictions on them using your chosen model.
|
170 |
**Please note** the predictions will take some time since the model needs to be loaded for inference first. If you make a second batch of prediction using the same model the predictions should be quicker."""
|