Instructions to use Taykhoom/ERNIE-RNA-MRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/ERNIE-RNA-MRL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/ERNIE-RNA-MRL", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/ERNIE-RNA-MRL", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 409cc457b1f52508b36944d7359163fcac61fd82177f3dbd534bdb78b3085e6b
- Size of remote file:
- 344 MB
- SHA256:
- 8be226dd53558e91cd34ee8c9283cafd8e9e73e97ca239b8bbd8fd46148d77fd
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