Improve language tag
46505a9 verified - 1.57 kB Upload folder using huggingface_hub
- 1.72 kB Improve language tag
- 605 Bytes Upload folder using huggingface_hub
- 210 Bytes Upload folder using huggingface_hub
- 839 Bytes Upload folder using huggingface_hub
- 243 Bytes Upload folder using huggingface_hub
- 1.67 MB Upload folder using huggingface_hub
- 4.89 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 4.88 GB Upload folder using huggingface_hub
- 2.12 GB Upload folder using huggingface_hub
- 63.2 kB Upload folder using huggingface_hub
- 616 Bytes Upload folder using huggingface_hub
- 11.4 MB Upload folder using huggingface_hub
- 7.34 kB Upload folder using huggingface_hub
- 210 Bytes Upload folder using huggingface_hub
- 240 kB Upload folder using huggingface_hub
- 176 kB Upload folder using huggingface_hub
training_args.bin Detected Pickle imports (13)
- "accelerate.utils.dataclasses.DeepSpeedPlugin",
- "accelerate.state.PartialState",
- "transformers.trainer_utils.SchedulerType",
- "transformers.trainer_utils.IntervalStrategy",
- "transformers.integrations.deepspeed.HfTrainerDeepSpeedConfig",
- "transformers.integrations.deepspeed.HfDeepSpeedConfig",
- "torch.bfloat16",
- "accelerate.utils.dataclasses.DistributedType",
- "transformers.trainer_utils.HubStrategy",
- "transformers.training_args_seq2seq.Seq2SeqTrainingArguments",
- "transformers.trainer_pt_utils.AcceleratorConfig",
- "torch.device",
- "transformers.training_args.OptimizerNames"
How to fix it?
7.42 kB Upload folder using huggingface_hub - 2.78 MB Upload folder using huggingface_hub
