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:
- 98cfb6bfc409a27e22aaffe92e2776ae9e7b4635fb54ae9c9ba4d2b481f23708
- Size of remote file:
- 92.6 MB
- SHA256:
- 8d77012afe92a31692c5aa591fd73bf837a056ba641a0783160974c395bb52a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.