Instructions to use davidcechak/DNADeberta_fine_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidcechak/DNADeberta_fine_ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davidcechak/DNADeberta_fine_")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davidcechak/DNADeberta_fine_") model = AutoModelForSequenceClassification.from_pretrained("davidcechak/DNADeberta_fine_") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("davidcechak/DNADeberta_fine_")
model = AutoModelForSequenceClassification.from_pretrained("davidcechak/DNADeberta_fine_")Quick Links
No model card
- Downloads last month
- 7
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davidcechak/DNADeberta_fine_")