Instructions to use m522t/open_groundingdino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m522t/open_groundingdino with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="m522t/open_groundingdino")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("m522t/open_groundingdino", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "tokenizer_class": "BertTokenizer", | |
| "model_max_length": 512, | |
| "padding_side": "right", | |
| "truncation": true, | |
| "do_lower_case": true, | |
| "vocab_size": 30522 | |
| } |