Instructions to use omicseye/seqsight_4096_512_89M-at-base_plasmid_300bp_15mill_lbl_normwt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omicseye/seqsight_4096_512_89M-at-base_plasmid_300bp_15mill_lbl_normwt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="omicseye/seqsight_4096_512_89M-at-base_plasmid_300bp_15mill_lbl_normwt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("omicseye/seqsight_4096_512_89M-at-base_plasmid_300bp_15mill_lbl_normwt") model = AutoModelForSequenceClassification.from_pretrained("omicseye/seqsight_4096_512_89M-at-base_plasmid_300bp_15mill_lbl_normwt", device_map="auto") - Notebooks
- Google Colab
- Kaggle