Instructions to use Taykhoom/RNAErnie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/RNAErnie with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/RNAErnie", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/RNAErnie", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c53b1f20a1529a277405f7bb51cfb33a5eb3bd4d8085a157cd3e84c1ead0b45a
- Size of remote file:
- 347 MB
- SHA256:
- 9fae5c3d4324f5e9992efd83908ac47f66569217a5e1dc87fb296f78ff5cea48
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