# You can include sample code which will be formatted
Limitations and bias
Provide examples of latent issues and potential remediations.
Training data
Describe the data you used to train the model.
If you initialized it with pre-trained weights, add a link to the pre-trained model card or repository with description of the pre-training data.
Training procedure
Preprocessing, hardware used, hyperparameters...
Eval results
BibTeX entry and citation info
@inproceedings{...,
year={2020}
}
Runs of flax-community medclip on huggingface.co
12
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
4
30-day runs
More Information About medclip huggingface.co Model
medclip huggingface.co is an AI model on huggingface.co that provides medclip's model effect (), which can be used instantly with this flax-community medclip model. huggingface.co supports a free trial of the medclip model, and also provides paid use of the medclip. Support call medclip model through api, including Node.js, Python, http.
medclip huggingface.co is an online trial and call api platform, which integrates medclip's modeling effects, including api services, and provides a free online trial of medclip, you can try medclip online for free by clicking the link below.
flax-community medclip online free url in huggingface.co:
medclip is an open source model from GitHub that offers a free installation service, and any user can find medclip on GitHub to install. At the same time, huggingface.co provides the effect of medclip install, users can directly use medclip installed effect in huggingface.co for debugging and trial. It also supports api for free installation.