Instructions to use omicseye/seqsight_esm_4096_512_55M_plasmid_1000bp_SLD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omicseye/seqsight_esm_4096_512_55M_plasmid_1000bp_SLD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="omicseye/seqsight_esm_4096_512_55M_plasmid_1000bp_SLD", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("omicseye/seqsight_esm_4096_512_55M_plasmid_1000bp_SLD", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("omicseye/seqsight_esm_4096_512_55M_plasmid_1000bp_SLD", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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