ddp_mtl_nccl_support (
#524)
- docs move dict loading to function in eval utils
- examples further emphasize different token dictionaries in examples
- fine_tuned_models update with 12L and 20L i4096 gc95M models, multitask and quantiz code
- geneformer ddp_mtl_nccl_support (#524)
- gf-12L-30M-i2048 update with 12L and 20L i4096 gc95M models, multitask and quantiz code
- gf-12L-95M-i4096 update with 12L and 20L i4096 gc95M models, multitask and quantiz code
- gf-12L-95M-i4096_CLcancer update with 12L and 20L i4096 gc95M models, multitask and quantiz code
- gf-20L-95M-i4096 update with 12L and 20L i4096 gc95M models, multitask and quantiz code
- gf-6L-30M-i2048 update with 12L and 20L i4096 gc95M models, multitask and quantiz code
- 1.27 kB precommit formatting
- 3.08 kB Add gitignore file
- 737 Bytes Add pre-commit config
- 396 Bytes update readthedocs.yaml
- 195 Bytes update setup with req and manifest with updated filenames
- 8.46 kB Adding tags to the model (#448)
- 591 Bytes update with 12L and 20L i4096 gc95M models, multitask and quantiz code
- 90 Bytes update with 12L and 20L i4096 gc95M models, multitask and quantiz code
- 152 MB update with 12L and 20L i4096 gc95M models, multitask and quantiz code
- 362 Bytes update transformers version to match pretrainer using accelerate
- 1.06 kB Add find_packages to automatically include mtl and subpackages in setup.py (#410)
training_args.bin Detected Pickle imports (8)
- "transformers.trainer_utils.SchedulerType",
- "transformers.training_args.OptimizerNames",
- "accelerate.utils.dataclasses.DistributedType",
- "transformers.trainer_utils.HubStrategy",
- "torch.device",
- "transformers.trainer_utils.IntervalStrategy",
- "transformers.training_args.TrainingArguments",
- "accelerate.state.PartialState"
How to fix it?
4.92 kB update with 12L and 20L i4096 gc95M models, multitask and quantiz code
