Instructions to use Rocketknight1/hyenadna-tiny-1k-seqlen-d256-hf-finetuned-human-enhancers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rocketknight1/hyenadna-tiny-1k-seqlen-d256-hf-finetuned-human-enhancers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rocketknight1/hyenadna-tiny-1k-seqlen-d256-hf-finetuned-human-enhancers", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Rocketknight1/hyenadna-tiny-1k-seqlen-d256-hf-finetuned-human-enhancers", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfb2b1ab68fc17ae5480719e0cdcaea772d5c4576492dda83955d249d4e17484
- Size of remote file:
- 3.32 MB
- SHA256:
- cb5fc408ed5eda8a981e0093a38d8c1ed686e421a8565db5f94f7212ad3c6b62
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