Instructions to use ayushrupapara/vit-gpt2-flickr8k-image-captioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayushrupapara/vit-gpt2-flickr8k-image-captioner with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="ayushrupapara/vit-gpt2-flickr8k-image-captioner")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ayushrupapara/vit-gpt2-flickr8k-image-captioner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.pth from ayushrupapara/vit-gpt2-flickr8k-image-captioner: direct link, hf CLI and curl.
- Browser
- Download file 959 MB
-
https://huggingface.co/ayushrupapara/vit-gpt2-flickr8k-image-captioner/resolve/main/model.pth
- Command line
-
hf download hf://ayushrupapara/vit-gpt2-flickr8k-image-captioner/model.pth
-
curl -L -o model.pth https://huggingface.co/ayushrupapara/vit-gpt2-flickr8k-image-captioner/resolve/main/model.pth
959 MB
- Xet hash:
- b826f9135abba6c08b6934511159d2db2e4e4498ecffc8024c11b0b85b358c55
- Size of remote file:
- 959 MB
- SHA256:
- b32840c4e08a2a27ae5c3470fc2cb71ce0bd4719e358b27070c13098ec035fe2
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