Instructions to use Taykhoom/UTRBERT-6mer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/UTRBERT-6mer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/UTRBERT-6mer", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/UTRBERT-6mer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Taykhoom/UTRBERT-6mer: direct link, hf CLI and curl.
- Browser
- Download file 372 MB
-
https://huggingface.co/Taykhoom/UTRBERT-6mer/resolve/main/model.safetensors
- Command line
-
hf download hf://Taykhoom/UTRBERT-6mer/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Taykhoom/UTRBERT-6mer/resolve/main/model.safetensors
372 MB
- Xet hash:
- 0442e9f8c64cd85d906cd347d9b9b603efbe5290077e9c288c7072d9de3b36af
- Size of remote file:
- 372 MB
- SHA256:
- c11782a4161c9a35e187cc7f14a1d33712791fcb06ec74c82b7aaef173651d7d
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