Instructions to use simecek/ArabidopsisDNADeberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/ArabidopsisDNADeberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/ArabidopsisDNADeberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/ArabidopsisDNADeberta") model = AutoModelForMaskedLM.from_pretrained("simecek/ArabidopsisDNADeberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbc9371278ab42085179cc079e5369506c4a9943a744f3df3b7b4dba0bb80bb0
- Size of remote file:
- 187 MB
- SHA256:
- 8b2425850e475295be56315af5f5916853fed3442a657b0f64a008e197bf21a3
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