Transformers
English
DNA
genomics
fish
sequence-classification
FishCaduceus
Fish_GUE
fine-tuned
single-nucleotide
Instructions to use FishCaduceus/FishCaduceus-28L-1024-FishGUE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FishCaduceus/FishCaduceus-28L-1024-FishGUE with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FishCaduceus/FishCaduceus-28L-1024-FishGUE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "/nvme0/wb_ssd0/FishCaduceus/pretrained_model/FishCaduceus_train_l28_1024/checkpoint-45000", | |
| "architectures": [ | |
| "CaduceusForSequenceClassification" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_caduceus.CaduceusConfig", | |
| "AutoModel": "modeling_caduceus.Caduceus", | |
| "AutoModelForMaskedLM": "modeling_caduceus.CaduceusForMaskedLM", | |
| "AutoModelForSequenceClassification": "modeling_caduceus.CaduceusForSequenceClassification" | |
| }, | |
| "bidirectional": true, | |
| "bidirectional_strategy": "add", | |
| "bidirectional_weight_tie": true, | |
| "complement_map": { | |
| "0": 0, | |
| "1": 1, | |
| "2": 2, | |
| "3": 6, | |
| "4": 5, | |
| "5": 4, | |
| "6": 3, | |
| "7": 7 | |
| }, | |
| "d_model": 768, | |
| "fused_add_norm": true, | |
| "id2label": { | |
| "0": "Not", | |
| "1": "Yes" | |
| }, | |
| "initializer_cfg": { | |
| "initializer_range": 0.02, | |
| "n_residuals_per_layer": 1, | |
| "rescale_prenorm_residual": true | |
| }, | |
| "label2id": { | |
| "Not": 0, | |
| "Yes": 1 | |
| }, | |
| "model_type": "caduceus", | |
| "n_layer": 28, | |
| "norm_epsilon": 1e-05, | |
| "pad_token_id": 0, | |
| "pad_vocab_size_multiple": 8, | |
| "problem_type": "single_label_classification", | |
| "rcps": true, | |
| "residual_in_fp32": true, | |
| "rms_norm": true, | |
| "ssm_cfg": { | |
| "bias": false, | |
| "conv_bias": true, | |
| "d_conv": 4, | |
| "d_state": 16, | |
| "dt_init": "random", | |
| "dt_init_floor": 0.0001, | |
| "dt_max": 0.1, | |
| "dt_min": 0.001, | |
| "dt_rank": "auto", | |
| "dt_scale": 1.0, | |
| "expand": 2, | |
| "use_fast_path": true | |
| }, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.30.2", | |
| "vocab_size": 8 | |
| } | |