Instructions to use simecek/DNAMobileBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNAMobileBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNAMobileBert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNAMobileBert") model = AutoModelForMaskedLM.from_pretrained("simecek/DNAMobileBert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d2ed91a5145514b04aea7a5c36ad5120bedebb6ceb43e83a1329854e2a39ad6
- Size of remote file:
- 3.25 kB
- SHA256:
- abd11f4e05428422316d45a3c2ef06729045f815264136caacf669b9dff4e1ac
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