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:
- 89e1eb38e1d34f266efc02bb0fe4b1c024e0faa5eb286b0d7ec0271c1d7c16da
- Size of remote file:
- 4.79 kB
- SHA256:
- 74838a4b8eede41b1eef942fbd01abd3310c3f00fceb838c1784e6ce2e0e48a3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.