Instructions to use Taykhoom/DNABERT-4mer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/DNABERT-4mer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/DNABERT-4mer", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/DNABERT-4mer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Taykhoom/DNABERT-4mer: direct link, hf CLI and curl.
- Browser
- Download file 215 Bytes
-
https://huggingface.co/Taykhoom/DNABERT-4mer/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Taykhoom/DNABERT-4mer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Taykhoom/DNABERT-4mer/resolve/main/tokenizer_config.json
215 Bytes
| { | |
| "do_lower_case": false, | |
| "model_max_length": 512, | |
| "tokenizer_class": "BertTokenizer", | |
| "unk_token": "[UNK]", | |
| "sep_token": "[SEP]", | |
| "pad_token": "[PAD]", | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]" | |
| } |