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Hello, this is presumably not a bug, rather idea how to improve word completion.
While the dictionary with word completion is very useful thing in OptiKey, there are cases, where it could help but a…
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(Anomalydiffusion) haianh@admin:~/anomalydiffusion$ python main.py --spatial_encoder_embedding --data_enhance --base configs/latent-diffusion/txt2img-1p4B-finetune-encoder+embedding.yaml -t --actual_r…
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For various word part prediction / completion approaches, we need a way to tell the keyboard that word form suggestion X is not a complete word (yet), and thus should not be followed by a space charac…
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Hi ,
so giving a background -
I am using Mistral 7b along with HF trainer for finetuning on domain specific data.
Where the task is CausalLM ie next word prediction.
Using datacollatorfor Causa…
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Prediction in CPU takes about 1 sec for a paragraph. Would using **transformer-xl** speedup predictions on CPU?
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I'm very new to the concept of neural networks so correct me if I'm getting something wrong but don't LSTMs have short term memory so you can call inputs in a sequence and get different results depend…
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We want to verify the plot 4 in the paper. So we want to measure
1. attack success vs a fraction of adversary nodes
2. attack success vs a fraction of data poisoned
3. attack success vs a fracti…
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I have some unknow words(unk) in my data, i want to send the context of unk to the pretrained model to get the prediction of embedding for the unk words. But i can't found pretrained model here, is t…
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Both old ideas and new development suggest a more flexible approach to accceptors and error models. Below is a list of things discussed in the past, + new ideas inspired by the ongoing machine learnin…