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.
Runs of Synthyra ANKH_base on huggingface.co
233
Total runs
0
24-hour runs
-11
3-day runs
-45
7-day runs
-286
30-day runs
More Information About ANKH_base huggingface.co Model
ANKH_base huggingface.co is an AI model on huggingface.co that provides ANKH_base's model effect (), which can be used instantly with this Synthyra ANKH_base model. huggingface.co supports a free trial of the ANKH_base model, and also provides paid use of the ANKH_base. Support call ANKH_base model through api, including Node.js, Python, http.
ANKH_base huggingface.co is an online trial and call api platform, which integrates ANKH_base's modeling effects, including api services, and provides a free online trial of ANKH_base, you can try ANKH_base online for free by clicking the link below.
Synthyra ANKH_base online free url in huggingface.co:
ANKH_base is an open source model from GitHub that offers a free installation service, and any user can find ANKH_base on GitHub to install. At the same time, huggingface.co provides the effect of ANKH_base install, users can directly use ANKH_base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.