Instructions to use belfner/vit_base_patch16_lingbot.robbyant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use belfner/vit_base_patch16_lingbot.robbyant with timm:
import timm model = timm.create_model("hf_hub:belfner/vit_base_patch16_lingbot.robbyant", pretrained=True) - Transformers
How to use belfner/vit_base_patch16_lingbot.robbyant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="belfner/vit_base_patch16_lingbot.robbyant")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("belfner/vit_base_patch16_lingbot.robbyant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "variant": "base", | |
| "arch": "vit_base_patch16_lingbot", | |
| "tag": "robbyant", | |
| "source_repo": "robbyant/lingbot-vision-vit-base", | |
| "source_revision": "f606f8c6c4002234ea68038f4d7c7cf57da96dfa", | |
| "source_sha256": "783dfb59014c34e9f0013db60bf6f5cc3c6b0604eb9528fb5df65e80769c5825", | |
| "wrapper_key": "model", | |
| "source_tensors": 188, | |
| "converted_tensors": 186, | |
| "param_count": 85659648, | |
| "dtypes": [ | |
| "torch.float32" | |
| ], | |
| "save_dir": "/home/belfner/PycharmProjects/pytorch-image-models/converted/vit_base_patch16_lingbot.robbyant", | |
| "artifacts": { | |
| "config.json": "3c3d3969ac84f7a030cf3899a4947149607a6cfb249cd99548a664878294466c", | |
| "model.safetensors": "1242e170cef1bafeedc13ac039e9e42dacbb2881078bcc9417650e28bb9e06f7", | |
| "pytorch_model.bin": "8acbd811a656551113f5fe1a4d62980d8aad5bd44275d89bc449be83ca2c1f99", | |
| "README.md": "cd2172c0cd2e8fc5bc4712c7b9e0d9bbb5f27e89e0ee854eed70f8775767b4e2" | |
| }, | |
| "parity": { | |
| "512x512": { | |
| "cls": { | |
| "max_abs": 0.0, | |
| "mean_abs": 0.0, | |
| "cos_min": 0.9999998807907104 | |
| }, | |
| "registers": { | |
| "max_abs": 0.0, | |
| "mean_abs": 0.0, | |
| "cos_min": 0.9999998807907104 | |
| }, | |
| "patches": { | |
| "max_abs": 0.0, | |
| "mean_abs": 0.0, | |
| "cos_min": 0.9999997019767761 | |
| } | |
| }, | |
| "384x512": { | |
| "cls": { | |
| "max_abs": 0.0, | |
| "mean_abs": 0.0, | |
| "cos_min": 0.9999998211860657 | |
| }, | |
| "registers": { | |
| "max_abs": 0.0, | |
| "mean_abs": 0.0, | |
| "cos_min": 0.9999997019767761 | |
| }, | |
| "patches": { | |
| "max_abs": 0.0, | |
| "mean_abs": 0.0, | |
| "cos_min": 0.9999995827674866 | |
| } | |
| }, | |
| "public_forward_token_pool": { | |
| "max_abs": 0.0 | |
| }, | |
| "public_forward_avg_pool_smoke": "pass", | |
| "transform_max_abs": 0.0, | |
| "real_image": { | |
| "cls": { | |
| "max_abs": 0.0, | |
| "mean_abs": 0.0, | |
| "cos_min": 0.9999997019767761 | |
| }, | |
| "registers": { | |
| "max_abs": 0.0, | |
| "mean_abs": 0.0, | |
| "cos_min": 0.9999997019767761 | |
| }, | |
| "patches": { | |
| "max_abs": 0.0, | |
| "mean_abs": 0.0, | |
| "cos_min": 0.9999996423721313 | |
| } | |
| } | |
| }, | |
| "provenance": { | |
| "converter_sha256": "166732a819c7af4542c50477c5ceeb01f3dc20061fef300f6a4fc437df48640c", | |
| "timm_root": "/home/belfner/PycharmProjects/pytorch-image-models", | |
| "timm_commit": "1fb842c917df1edd3c4a7c17edc4fc5588452cc5", | |
| "timm_dirty": false, | |
| "reference_root": "/home/belfner/PycharmProjects/pytorch-image-models/lingbot-vision", | |
| "reference_commit": "151e46321bae4399f8568829f190c7bdec216b49", | |
| "reference_dirty": false, | |
| "torch": "2.13.0+cu130", | |
| "timm_version": "1.0.29.dev0", | |
| "safetensors": "0.8.0", | |
| "huggingface_hub": "1.25.1", | |
| "python": "3.14.0" | |
| } | |
| } |