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
| [PAD] | |
| [UNK] | |
| [CLS] | |
| [SEP] | |
| [MASK] | |
| [DEL] | |
| [IND] | |
| RNaseMRPRNA | |
| RNasePRNA | |
| SRPRNA | |
| YRNA | |
| antisenseRNA | |
| autocatalyticallysplicedintron | |
| guideRNA | |
| hammerheadribozyme | |
| lncRNA | |
| miRNA | |
| miscRNA | |
| ncRNA | |
| other | |
| piRNA | |
| premiRNA | |
| precursorRNA | |
| rRNA | |
| ribozyme | |
| sRNA | |
| scRNA | |
| scaRNA | |
| siRNA | |
| snRNA | |
| snoRNA | |
| tRNA | |
| telomeraseRNA | |
| tmRNA | |
| vaultRNA | |
| A | |
| T | |
| C | |
| G |