Instructions to use multimolecule/deepcpgdna-hou2016-hcc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/deepcpgdna-hou2016-hcc with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/deepcpgdna-hou2016-hcc") model = AutoModel.from_pretrained("multimolecule/deepcpgdna-hou2016-hcc") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAGCGCTGCTCAGATAGCGATGG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "DeepCpgDnaForSequencePrediction" | |
| ], | |
| "bos_token_id": 1, | |
| "bottleneck_size": 128, | |
| "conv_channels": [ | |
| 128, | |
| 256 | |
| ], | |
| "conv_kernel_sizes": [ | |
| 11, | |
| 3 | |
| ], | |
| "conv_pool_sizes": [ | |
| 4, | |
| 2 | |
| ], | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "head": { | |
| "act": null, | |
| "bias": true, | |
| "dropout": 0.0, | |
| "hidden_size": 128, | |
| "layer_norm_eps": 1e-12, | |
| "loss_weight": null, | |
| "num_labels": 25, | |
| "output_name": null, | |
| "problem_type": "binary", | |
| "transform": null, | |
| "transform_act": "gelu", | |
| "type": null | |
| }, | |
| "hidden_act": "relu", | |
| "hidden_dropout": 0.0, | |
| "hidden_size": 128, | |
| "id2label": { | |
| "0": "Ca01", | |
| "1": "Ca02", | |
| "2": "Ca03", | |
| "3": "Ca04", | |
| "4": "Ca05", | |
| "5": "Ca06", | |
| "6": "Ca07", | |
| "7": "Ca08", | |
| "8": "Ca09", | |
| "9": "Ca10", | |
| "10": "Ca11", | |
| "11": "Ca12", | |
| "12": "Ca13", | |
| "13": "Ca14", | |
| "14": "Ca15", | |
| "15": "Ca16", | |
| "16": "Ca17", | |
| "17": "Ca18", | |
| "18": "Ca19", | |
| "19": "Ca20", | |
| "20": "Ca21", | |
| "21": "Ca22", | |
| "22": "Ca23", | |
| "23": "Ca24", | |
| "24": "Ca25" | |
| }, | |
| "label2id": { | |
| "Ca01": 0, | |
| "Ca02": 1, | |
| "Ca03": 2, | |
| "Ca04": 3, | |
| "Ca05": 4, | |
| "Ca06": 5, | |
| "Ca07": 6, | |
| "Ca08": 7, | |
| "Ca09": 8, | |
| "Ca10": 9, | |
| "Ca11": 10, | |
| "Ca12": 11, | |
| "Ca13": 12, | |
| "Ca14": 13, | |
| "Ca15": 14, | |
| "Ca16": 15, | |
| "Ca17": 16, | |
| "Ca18": 17, | |
| "Ca19": 18, | |
| "Ca20": 19, | |
| "Ca21": 20, | |
| "Ca22": 21, | |
| "Ca23": 22, | |
| "Ca24": 23, | |
| "Ca25": 24 | |
| }, | |
| "mask_token_id": 4, | |
| "model_type": "deepcpgdna", | |
| "null_token_id": 5, | |
| "num_labels": 25, | |
| "pad_token_id": 0, | |
| "sequence_length": 1001, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.9.0", | |
| "unk_token_id": 3, | |
| "vocab_size": 5 | |
| } | |