Instructions to use BiliSakura/DOFA-CLIP-VIT-L-14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/DOFA-CLIP-VIT-L-14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="BiliSakura/DOFA-CLIP-VIT-L-14")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/DOFA-CLIP-VIT-L-14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "CLIPTextModel" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "dropout": 0.0, | |
| "dtype": "float32", | |
| "eos_token_id": 1, | |
| "hidden_act": "gelu", | |
| "hidden_size": 1152, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4304, | |
| "layer_norm_eps": 1e-06, | |
| "max_position_embeddings": 64, | |
| "model_type": "clip_text_model", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 27, | |
| "pad_token_id": 0, | |
| "projection_dim": 1152, | |
| "transformers_version": "4.57.3", | |
| "vocab_size": 32000 | |
| } | |