Instructions to use Rocketknight1/hyenadna-tiny-1k-seqlen-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-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-hf-finetuned-human-enhancers", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Rocketknight1/hyenadna-tiny-1k-seqlen-hf-finetuned-human-enhancers", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a139f464c2a5ef38e4a5fd6e821c9608adc7091c480828bc7935303f9728c373
- Size of remote file:
- 904 kB
- SHA256:
- 475f53a93d234e73cde6e9acec515cb3c2387de7b086d4ba27cd1ef46241e72b
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