Instructions to use Taykhoom/RNAErnie2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/RNAErnie2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/RNAErnie2", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/RNAErnie2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 280053645b9053f455e6bbeae657f61f503f36822c8b0060b4188bef1f16c2b9
- Size of remote file:
- 349 MB
- SHA256:
- 5642f83f12205dcd729145578b1ab0d78e3124335fe9d13450ab363295456b33
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