Instructions to use davidcechak/DNADeberta_finedemo_coding_vs_intergenomic_seqs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidcechak/DNADeberta_finedemo_coding_vs_intergenomic_seqs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davidcechak/DNADeberta_finedemo_coding_vs_intergenomic_seqs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davidcechak/DNADeberta_finedemo_coding_vs_intergenomic_seqs") model = AutoModelForSequenceClassification.from_pretrained("davidcechak/DNADeberta_finedemo_coding_vs_intergenomic_seqs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): e9c9cdc
add model
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pytorch_model.bin
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