Instructions to use Peltarion/dnabert-minilm-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Peltarion/dnabert-minilm-mini with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Peltarion/dnabert-minilm-mini") model = AutoModelForPreTraining.from_pretrained("Peltarion/dnabert-minilm-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf85b2e2d7d49b1c02c70d1eccda7e045450da117374be4d91cb8be657b4f1d5
- Size of remote file:
- 43.8 MB
- SHA256:
- 975011a6fc6b34e87e2f49a887c4aa7c285bf855b862a9277754e1428b1388cf
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