Instructions to use Taykhoom/UTRBERT-4mer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/UTRBERT-4mer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/UTRBERT-4mer", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/UTRBERT-4mer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- **Objective:** Masked Language Modeling (MLM) on 4-mer tokens
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- **Data:** Human 3' UTR sequences
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- **Source checkpoint:** `4-new-12w-0/pytorch_model.bin` from figshare article 22847354
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### Checkpoint selection
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- **Objective:** Masked Language Modeling (MLM) on 4-mer tokens
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- **Data:** Human 3' UTR sequences
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- **Source checkpoint:** `4-new-12w-0/pytorch_model.bin` from [figshare article 22847354](https://figshare.com/articles/dataset/22847354) ([direct download](https://ndownloader.figshare.com/files/40597883))
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### Checkpoint selection
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