Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support.
More
Now, the adapter can be loaded and activated like this:
from transformers import AutoModelWithHeads
model = AutoModelWithHeads.from_pretrained("facebook/bart-base")
adapter_name = model.load_adapter("AdapterHub/bioASQyesno", source="hf", set_active=True)
Architecture & Training
Trained for 15 epochs with early stopping, a learning rate of 1e-4, and a batch size of 4 on the yes-no questions of the bioASQ 8b dataset.
Evaluation results
Achieved 75% accuracy on the test dataset of bioASQ 8b dataset.
Citation
Runs of AdapterHub bioASQyesno on huggingface.co
13
Total runs
0
24-hour runs
2
3-day runs
4
7-day runs
7
30-day runs
More Information About bioASQyesno huggingface.co Model
bioASQyesno huggingface.co
bioASQyesno huggingface.co is an AI model on huggingface.co that provides bioASQyesno's model effect (), which can be used instantly with this AdapterHub bioASQyesno model. huggingface.co supports a free trial of the bioASQyesno model, and also provides paid use of the bioASQyesno. Support call bioASQyesno model through api, including Node.js, Python, http.
bioASQyesno huggingface.co is an online trial and call api platform, which integrates bioASQyesno's modeling effects, including api services, and provides a free online trial of bioASQyesno, you can try bioASQyesno online for free by clicking the link below.
AdapterHub bioASQyesno online free url in huggingface.co:
bioASQyesno is an open source model from GitHub that offers a free installation service, and any user can find bioASQyesno on GitHub to install. At the same time, huggingface.co provides the effect of bioASQyesno install, users can directly use bioASQyesno installed effect in huggingface.co for debugging and trial. It also supports api for free installation.