Instructions to use Thibalte/captionning_project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thibalte/captionning_project 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="Thibalte/captionning_project")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Thibalte/captionning_project") model = AutoModelForMultimodalLM.from_pretrained("Thibalte/captionning_project", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 149 Bytes
ef5b6be | 1 2 3 4 5 6 7 8 | {
"bos_token_id": 50256,
"decoder_start_token_id": 50256,
"eos_token_id": 50256,
"pad_token_id": 50256,
"transformers_version": "4.35.2"
}
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