Instructions to use jxu124/SInViG-240117-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jxu124/SInViG-240117-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="jxu124/SInViG-240117-0", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jxu124/SInViG-240117-0", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.36.2", | |
| "use_cache": false | |
| } | |