Feature Extraction
Transformers
Safetensors
English
porebert
nanopore
dna
sequencing
genomics
bioinformatics
foundation-model
transformer
bert
masked-language-modeling
signal-processing
vector-quantization
vq-tokenizer
custom_code
Instructions to use ShuaiAnwo/PoreBERT-DNA-VQI-007M-526 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShuaiAnwo/PoreBERT-DNA-VQI-007M-526 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ShuaiAnwo/PoreBERT-DNA-VQI-007M-526", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShuaiAnwo/PoreBERT-DNA-VQI-007M-526", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 824 Bytes
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