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:
- 0b5ed5f63f96fbfeb15020b291f1358ab704a2e690b73749512108de989e2dc3
- Size of remote file:
- 2.29 kB
- SHA256:
- fd22f3825fa3fd9038841c44b95f4fa7d27ca4d99fef84abd38eb8fbf94f7c16
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