Instructions to use Seungjun/image_captioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seungjun/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="Seungjun/image_captioner")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Seungjun/image_captioner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "d_model": 512, | |
| "dropout": 0.4, | |
| "max_length": 32, | |
| "num_heads": 8, | |
| "num_layers": 4, | |
| "vocab_size": 30522 | |
| } |