Instructions to use Taykhoom/ERNIE-RNA-SS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/ERNIE-RNA-SS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/ERNIE-RNA-SS", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/ERNIE-RNA-SS", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 493cb3b3560dc373b33389ec7b78816bb7361604981842669d1fc4fa74bd47b5
- Size of remote file:
- 344 MB
- SHA256:
- d0fdbaf7495a053ecfd9deca4d21aa7eaceff515c3617fd795d796a60061bc6a
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