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 AutoAdapterModel
model = AutoAdapterModel.from_pretrained("xlm-roberta-base")
adapter_name = model.load_adapter("intanm/xlmr_idkmrc_2", source="hf", set_active=True)
Architecture & Training
Evaluation results
Citation
Runs of intanm xlmr_idkmrc_2 on huggingface.co
8
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
5
30-day runs
More Information About xlmr_idkmrc_2 huggingface.co Model
xlmr_idkmrc_2 huggingface.co
xlmr_idkmrc_2 huggingface.co is an AI model on huggingface.co that provides xlmr_idkmrc_2's model effect (), which can be used instantly with this intanm xlmr_idkmrc_2 model. huggingface.co supports a free trial of the xlmr_idkmrc_2 model, and also provides paid use of the xlmr_idkmrc_2. Support call xlmr_idkmrc_2 model through api, including Node.js, Python, http.
xlmr_idkmrc_2 huggingface.co is an online trial and call api platform, which integrates xlmr_idkmrc_2's modeling effects, including api services, and provides a free online trial of xlmr_idkmrc_2, you can try xlmr_idkmrc_2 online for free by clicking the link below.
intanm xlmr_idkmrc_2 online free url in huggingface.co:
xlmr_idkmrc_2 is an open source model from GitHub that offers a free installation service, and any user can find xlmr_idkmrc_2 on GitHub to install. At the same time, huggingface.co provides the effect of xlmr_idkmrc_2 install, users can directly use xlmr_idkmrc_2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.