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You can add a Header (or label) and PlaceholderText (or watermark) to the TextBox to give the user an indication of what the TextBox is for. To customize the look of the header, you can set the HeaderTemplate property instead of Header. For design info, see Guidelines for labels....
Hi, I found some weird error after upgrading to Gradio 3.16.2 for trying the FlaggingHuggingFaceDatasetSaver. It throwback the error"FileNotFoundError: [Errno 2] No such file or directory: '/home/user/.cache/huggingface/hub/models--anugrahap--gpt2-indo-textgen/refs/main'" It happens afte...
Best implementation for Overlays in C#/WPF Best library / package for 2D / 3D chart / Graph? Best practice for WPF MenuItem and Switch disable between two MenuItems Best practices to set a finite size for a window or usercontrol Best way to align labels and boxes Best way to implement ...
2.1.1457 Part 1 Section 21.2.2.49, dLbls (Data Labels) 2.1.1458 Part 1 Section 21.2.2.50, doughnutChart (Doughnut Charts) 2.1.1459 Part 1 Section 21.2.2.55, errBars (Error Bars) 2.1.1460 Part 1 Section 21.2.2.56, errBarType (Error Bar Type) 2.1.1461 Part 1 Section 21.2...
split(',') if len(terms) != 16: continue val = [int(i) for i in terms[1:]] data.append([terms[0], val]) return data if __name__ == '__main__': # model_type: support 'bert', 'albert', 'roberta', 'xlnet' # model_name: support 'bert-base-chinese', 'bert-base-...
labels=[' 1000',' 10000',' 200000','500000']labels=['{:,.0f}'.format(int(label))forlabelinlabels]scatter_s.legend_.get_texts()[0].set_text('Times listed by MAL users:')fori,labelinenumerate(labels):scatter_s.legend_.get_texts()[i+...
Add Labels into Table Add LinkButton as Link for Downloading file from site. Add logo image in mail footer using c# Add Multiple link buttons in a cell dynamically add multiple listbox value to add another list box Add onClick event to Label control add onClientClick from code behind to ima...
predict_all=np.array([],dtype=int) labels_all=np.array([],dtype=int) withtorch.no_grad(): fortexts,labelsindata_iter: outputs=model(texts) loss=F.cross_entropy(outputs,labels) loss_total+=loss labels=labels.data.cpu().numpy()
For example, the following is a valid er file: [Person] name { label: "string", color: "#3366ff", # i like bright blue } weight { label: "int",} Philosophy I don't intend for erd to have a large feature set with a lot of options for customizing the appearance of ER ...