Instructions to use roa7n/DNABert_K6_G_quad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roa7n/DNABert_K6_G_quad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roa7n/DNABert_K6_G_quad")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roa7n/DNABert_K6_G_quad") model = AutoModelForSequenceClassification.from_pretrained("roa7n/DNABert_K6_G_quad") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:03982785227c30d3e2b9f8702c25f1e2c457d46e5bf23198a1a73e93a2c1bb24
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size 356797432
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