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Thank you for your amazing work!
I want to try this model as soon as possible, but I find that some files in the tutorial are missing.
Have the trained model weights (ckpt files) been released? If so, users as me can use this model without training. checkpoint = 'results/bigmodel_h512_l12_lr1e-5_epoch=38-step=746889.ckpt' model = TrainModule.load_from_checkpoint(checkpoint).to(device) model = model.eval()
If the processed data (bigwig files) of 40 paired datasets is available, it's even better. It also means that other researchers can train or even refine the model without time-consuming pre-processing of raw FASTQ data. rna_bw_file = 'data/hg38/K562/GSE153597/input_features/rnaseq.bw' ribo_bw_file = 'data/hg38/K562/GSE153597/input_features/riboseq.bw'
The text was updated successfully, but these errors were encountered:
Sorry for my carelessness... Now I have located the Example ckpt and bw files in Example data and pretrained Translatomer model (zenodo.org). Besides, I would like to ask if it is appropriate to publicly release the processed data (bigwig files) of all 40 paired datasets?
Thank you for your amazing work!
I want to try this model as soon as possible, but I find that some files in the tutorial are missing.
Have the trained model weights (ckpt files) been released? If so, users as me can use this model without training.
checkpoint = 'results/bigmodel_h512_l12_lr1e-5_epoch=38-step=746889.ckpt'
model = TrainModule.load_from_checkpoint(checkpoint).to(device)
model = model.eval()
If the processed data (bigwig files) of 40 paired datasets is available, it's even better. It also means that other researchers can train or even refine the model without time-consuming pre-processing of raw FASTQ data.
rna_bw_file = 'data/hg38/K562/GSE153597/input_features/rnaseq.bw'
ribo_bw_file = 'data/hg38/K562/GSE153597/input_features/riboseq.bw'
The text was updated successfully, but these errors were encountered: