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