Hello, im following the tutorial but when training the model it trows an error when using the PyTorch Lightning method

What could it be?

Getting this:

HTTPError Traceback (most recent call last)
in <cell line: 6>()
7 search_term_dir = data_dir / search_term
8 search_term_dir.mkdir(exist_ok=True, parents=True)
----> 9 urls = get_image_urls_by_term(search_term)
10 print(f"Saving images of {search_term} to {str(search_term_dir)}...")
11 urls_to_image_folder(urls, search_term_dir)

1 frames
/usr/local/lib/python3.10/dist-packages/requests/models.py in raise_for_status(self)
1019
1020 if http_error_msg:
-> 1021 raise HTTPError(http_error_msg, response=self)
1022
1023 def close(self):

HTTPError: 401 Client Error: PermissionDenied for url: https://huggingface.co/api/experimental/images/search?q=fringe+selfie&license=public&imageType=photo&count=150

anyone else has this?

Hey, I am a newbie but I was trying to run the colab file (the default one). So then I came up with this error:

Hi,

The image search at https://huggingface.co/api/experimental/images/search returns max 35 results. Values lower than 35 in the "count" parameter are honored; values above 35 are ignored and 35 results are returned. Your great tutorial suggests that 150 results can be gathered through this API for each query. Has the image search API changed? Thank you!

Hi

Thank you for this straight forward codes for us to practice fine-tuning models with ViT. I'm on a project that classifying book covers. Everything goes well on my own dataset until trying to define classifier. An error message popped up "Can't instantiate abstract class Classifier with abstract methods forward". As I looked up the pytorch lightning code about forward(), it is indeed an abstract class. No idea why the error since the method was initiated in the init() method.

Has anyone run into this issue yet?

i just logged in with valid token named colab and would like to push to hf by running last cell code but return this error:
RuntimeError: You must log in to push to hub! Run notebook_login() in the cell above.
could you help me with this problem?

I'm having an issue on fitting the model. Given your example, HuggingPics works just fine. However, when I attempted to train my own model with one class with iron man, I am having issues under the Training section, cell 2, in particular

pl.seed_everything(42)
classifier = Classifier(model, lr=2e-5)
trainer = pl.Trainer(gpus=1, precision=16, max_epochs=4)
trainer.fit(classifier, train_loader, val_loader) # ERROR HERE

I tried to pin point the issue, but it was to no avail. First, I attempted to convert the encoding to a float in ImageClassificationCollator. However, that threw a new error for the same line,

ValueError: The target has to be an integer tensor.

I thought the error could be because of not enough classes, but that wasn't the case. I also thought it was because there wasn't enough data, but I I lowered the image count and your example processed fine.