Instructions to use multimolecule/hyenadna-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/hyenadna-tiny with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/hyenadna-tiny") model = AutoModel.from_pretrained("multimolecule/hyenadna-tiny") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
| { | |
| "activation_freq": 10, | |
| "architectures": [ | |
| "HyenaDnaForCausalLM" | |
| ], | |
| "bos_token_id": 1, | |
| "dtype": "float32", | |
| "embedding_dropout": 0.1, | |
| "eos_token_id": 2, | |
| "filter_dropout": 0.0, | |
| "filter_emb_dim": 5, | |
| "filter_order": 64, | |
| "head": null, | |
| "hidden_dropout": 0.0, | |
| "hidden_size": 128, | |
| "hyena_order": 2, | |
| "id2label": null, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 512, | |
| "label2id": null, | |
| "layer_norm_eps": 1e-05, | |
| "mask_token_id": 4, | |
| "max_position_embeddings": 16386, | |
| "model_type": "hyenadna", | |
| "null_token_id": 5, | |
| "num_hidden_layers": 2, | |
| "num_inner_mlps": 2, | |
| "num_labels": 1, | |
| "pad_token_id": 0, | |
| "pad_vocab_size_multiple": 8, | |
| "short_filter_order": 3, | |
| "tie_word_embeddings": true, | |
| "train_freq": true, | |
| "transformers_version": "5.7.0", | |
| "unk_token_id": 3, | |
| "use_bias": true, | |
| "vocab_size": 11 | |
| } | |