Encoder only version of the
ANKH2 large model
(paper not released yet for ANKH2). The encoder only version is ideal for protein representation tasks.
To download
from transformers import T5EncoderModel, AutoTokenizer
model_path = 'Synthyra/ANKH2_large'
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 ANKH2_large on huggingface.co
66
Total runs
-11
24-hour runs
-170
3-day runs
-336
7-day runs
-311
30-day runs
More Information About ANKH2_large huggingface.co Model
ANKH2_large huggingface.co
ANKH2_large huggingface.co is an AI model on huggingface.co that provides ANKH2_large's model effect (), which can be used instantly with this Synthyra ANKH2_large model. huggingface.co supports a free trial of the ANKH2_large model, and also provides paid use of the ANKH2_large. Support call ANKH2_large model through api, including Node.js, Python, http.
ANKH2_large huggingface.co is an online trial and call api platform, which integrates ANKH2_large's modeling effects, including api services, and provides a free online trial of ANKH2_large, you can try ANKH2_large online for free by clicking the link below.
Synthyra ANKH2_large online free url in huggingface.co:
ANKH2_large is an open source model from GitHub that offers a free installation service, and any user can find ANKH2_large on GitHub to install. At the same time, huggingface.co provides the effect of ANKH2_large install, users can directly use ANKH2_large installed effect in huggingface.co for debugging and trial. It also supports api for free installation.