Instructions to use malusare/dna-base-512-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malusare/dna-base-512-pretrained with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("malusare/dna-base-512-pretrained") model = AutoModelForSeq2SeqLM.from_pretrained("malusare/dna-base-512-pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dedff77b13d5e19a9fd53a2755f35495ff624b79ee0863137ea65de30fa02d5
- Size of remote file:
- 2.33 GB
- SHA256:
- e9d0423d8cf87c741bfb4cb8dc2e7351b2c76e13e8af3c9294142fcd991e9cc9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.