Instructions to use Taykhoom/SpliceBERT-human-510nt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/SpliceBERT-human-510nt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/SpliceBERT-human-510nt", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/SpliceBERT-human-510nt", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa9477cfe4c734bab1ce52c47c955148e9583649d51d775a14114dc722ea8a3c
- Size of remote file:
- 77.8 MB
- SHA256:
- 6e5465d8e1c0e827d36b88b9fd9ad4f84397760adc90d924391c2442da2f7b30
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.