Instructions to use Peltarion/dnabert-minilm-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Peltarion/dnabert-minilm-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Peltarion/dnabert-minilm-small") model = AutoModelForPreTraining.from_pretrained("Peltarion/dnabert-minilm-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Peltarion/dnabert-minilm-small: direct link, hf CLI and curl.
- Browser
- Download file 79.3 MB
-
https://huggingface.co/Peltarion/dnabert-minilm-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Peltarion/dnabert-minilm-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Peltarion/dnabert-minilm-small/resolve/main/pytorch_model.bin
79.3 MB
- Xet hash:
- de51ae50873b8a75ce97edd16a9ec837672878e81ed6d56038ed74a7ad40f606
- Size of remote file:
- 79.3 MB
- SHA256:
- 5d23dce4f174e093d966ded44fcb4aabb0052f937f53cbacf334efb16821a4eb
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