Instructions to use Taykhoom/UTRBERT-3mer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/UTRBERT-3mer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/UTRBERT-3mer", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/UTRBERT-3mer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25188e897f7cbe044c5a03994d3b519a032f158cf0244a7d7685c1d5c81c1d77
- Size of remote file:
- 347 MB
- SHA256:
- b5f005c257c82ff99aea0f5a64ff0b798abc49166acee01a9c03ba46fa41caaa
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