Comments (2)
This is now very easy with https://github.com/JonasGeiping/cramming/releases/tag/Torch2.1. You can just stream data directly from huggingface.
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Hi, sorry to hear that. I didn't expect the demand for preprocessed data to be more than sporadic, and to overwhelm the dropbox limits.
I don't have a gdrive account large enough to host these files and I've never worked with AWS in any serious capacity to set this up (and requester pays would not be my favorite model).
What makes most sense for me would be a huggingface datasets upload, but don't have time to set that up at the moment.
from cramming.
Related Issues (20)
- RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)` while running evaluation HOT 10
- Pretraining on a single RTX 3060 HOT 2
- Errors with both the verify installation command as well as the final recipe HOT 2
- GLUE evaluation numbers are very poor, if increase the sequence length to 512 and float 32 HOT 5
- Evaluation failed on MNLI and STSB Datasets for Last1.13release HOT 3
- I run the test command,got this error,how to fix it?looks like no dataset HOT 12
- Tutorial for pretrain RoBERTa with custom data HOT 2
- Issue with torch.compile / dynamo HOT 5
- Question about sparse token prediction HOT 1
- Uploading trained model to HF/saving in HF format locally HOT 8
- Finetuning for SQuAD task HOT 2
- try it on Mac M1 but failed HOT 2
- can't import cramming HOT 2
- TypeError: _load_optimizer() missing 1 required positional argument: 'initial_time' HOT 1
- torch._dynamo error on step 2: calling compiler function 'inductor' HOT 7
- Finetuning for token classification HOT 3
- Configs for GPT? HOT 2
- From PR 43 HOT 5
- Unable to replicate the results using the default command HOT 15
- How to load local data HOT 2
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