Upload folder using huggingface_hub

.virtual_documents/__notebook_source__.ipynb

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+get_ipython().getoutput("pip install -q huggingface_hub")
+
+from huggingface_hub import login
+from kaggle_secrets import UserSecretsClient
+
+# "HF_TOKEN" here is the LABEL you set in Add-ons -> Secrets, not the token itself
+hf_token = UserSecretsClient().get_secret("HF_TOKEN")
+login(token=hf_token)
+
+
+get_ipython().getoutput("kaggle kernels output mickey2004/complete-fakeddit-image -p "/kaggle/working/"")
+
+
+from huggingface_hub import HfApi, create_repo
+
+repo_id = "jayesh20/ai-image-detector"  # change this
+api = HfApi()
+
+# Create the repo (safe to call even if it already exists)
+create_repo(repo_id, repo_type="model", exist_ok=True, private=False)
+
+# Upload a single checkpoint file
+api.upload_file(
+    path_or_fileobj="/kaggle/working/best_clip_detector.pth",
+    path_in_repo="best_clip_detector.pth",
+    repo_id=repo_id,
+    repo_type="model",
+)
+
+
+
+api.upload_folder(
+    folder_path="/kaggle/working/",
+    repo_id=repo_id,
+    repo_type="model",
+    path_in_repo=".",  # or "stage1/" to keep it in a subfolder
+)
+
+
+

checkpoint.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6cb6be38a6eb890d5db0f50360eeaf1d8ca95927661d16519eaaad4afe31595f
+size 610403840

checkpoint_epoch_17.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f371a25b6d166f7e3fd37f95c8f624f07e08a25936059f883f7001bdc4f90dc0
+size 606965113