Instructions to use Synthyra/ANKH_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ANKH_base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Synthyra/ANKH_base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
{}
Encoder only version of the ANKH base model (paper). The encoder only version is ideal for protein representation tasks.
To download
from transformers import T5EncoderModel, AutoTokenizer
model_path = 'Synthyra/ANKH_base'
model = T5EncoderModel.from_pretrained(model_path)
tokenizer = AutoTokenizer.from_pretrained(model_path)
We are working on implementing a version of T5 based PLMs with Flex attention once learned relative position bias is supported (used in T5). Stay tuned.