Instructions to use DBD-research-group/Bird-MAE-Huge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DBD-research-group/Bird-MAE-Huge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="DBD-research-group/Bird-MAE-Huge", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DBD-research-group/Bird-MAE-Huge", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "BirdMAEModel" | |
| ], | |
| "attn_drop_rate": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration_bird_mae.BirdMAEConfig", | |
| "AutoModel": "modeling_bird_mae.BirdMAEModel", | |
| "AutoModelForSequenceClassification": "modeling_bird_mae.BirdMAEForSequenceClassification" | |
| }, | |
| "depth": 32, | |
| "drop_path_rate": 0.0, | |
| "drop_rate": 0.0, | |
| "embed_dim": 1280, | |
| "global_pool": "mean", | |
| "img_size_x": 512, | |
| "img_size_y": 128, | |
| "in_chans": 1, | |
| "init_values": null, | |
| "mlp_ratio": 4, | |
| "norm_layer_eps": 1e-06, | |
| "num_heads": 16, | |
| "num_patches": 256, | |
| "num_patches_x": 32, | |
| "num_patches_y": 8, | |
| "num_tokens": 257, | |
| "patch_size": 16, | |
| "pos_drop_rate": 0.0, | |
| "pos_trainable": false, | |
| "proj_drop_rate": 0.0, | |
| "qk_norm": false, | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.38.0" | |
| } | |