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
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README.md
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| Model | Context | Training data | Notes |
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| [RNAErnie](https://huggingface.co/Taykhoom/RNAErnie) | 512 | RNACentral (nts<=512) | Original; PaddlePaddle backbone |
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| **[RNAErnie2](./)** | **2048** | **RNACentral v22 (~31M seqs)** | **This model; PyTorch BERT** |
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## Usage
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| Model | Context | Training data | Notes |
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| [RNAErnie](https://huggingface.co/Taykhoom/RNAErnie) | 512 | RNACentral (nts<=512) | Original; PaddlePaddle backbone |
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| **[RNAErnie2](https://huggingface.co/Taykhoom/RNAErnie2)** | **2048** | **RNACentral v22 (~31M seqs)** | **This model; PyTorch BERT** |
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## Usage
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