Feature Extraction
Transformers
Safetensors
Upper Grand Valley Dani
bert
DNA
BERT
language-model
genomics
custom_code
text-embeddings-inference
Instructions to use Taykhoom/DNABERT-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/DNABERT-S with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Taykhoom/DNABERT-S", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Taykhoom/DNABERT-S", trust_remote_code=True) model = AutoModel.from_pretrained("Taykhoom/DNABERT-S", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "model_max_length": 10000, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "[UNK]" | |
| } | |