Checkpoint was declined 检查点 超时 新的检查点 来了 这个检查点 被拒绝执行了 // CheckPoint 的...
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pip版本: datasets 2.13.0 torch 2.3.0 transformers 4.37.0 peft 0.10.1.dev0 完成100步训练后会在./output/Qwen1.5目录下生成文件权重 然后会报错: C:\Users\zsodata\.conda\envs\llama\python.exe E:/nlp_about/self-llm/zzzzz_finetune/qwen1_5-0.5b/finetune_05b.py Special tokens have been add...
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I get the impression that the original intention of this library was that we could create an actual Checkpoint of a DB and then restore back to that checkpoint, but that isn't what it actually does - in fact, all this library does is delete all data from a database while respecting ...
CheckpointsThere are two main ways to load pretrained checkpoints in NeMo:Using the restore_from() method to load a local checkpoint file (.nemo), or Using the from_pretrained() method to download and set up a checkpoint from NGC.
If you have a local .nemo checkpoint that you’d like to load, simply use the restore_from() method: import nemo.collections.asr as nemo_asr model = nemo_asr.models.<MODEL_BASE_CLASS>.restore_from(restore_path="<path/to/checkpoint/file.nemo>") Where the model base class is the ASR...