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I believe the previous behaviour allowed you to not include any DeepSpeed configuration scheduler key and the one specified in your TrainerArguments would be used. Now it seems you have to include the corresponding scheduler between DeepSpeed and Hugging Face Trainer. i.e. DeepSpeed schedulerTrainer ...
a他成天什么也不干,只知道睡觉 His any does not do all day long, only knew sleeps[translate] areport the situation to the police 情况向警察[translate] amaybe somebody is waiting for hugging you here or there 可能某人等待这里拥抱您或那里[translate] ...
aDouble RoSingle roomom 双重RoSingle roomom[translate] ahematopoietic function hematopoietic作用[translate] a我好希望,有一天,你抱着一大个毛绒熊向我告白。 I good hoped that, one day, you are hugging a big plush bear to my public statement.[translate] ...
Lightweight environment: Conda environments can be lighter than Docker images because they only install specific packages. \n \n \n Disadvantages\n \n Limited flexibility: Because the Conda environment focuses on Python packages and Conda packages, it is difficult to handle more complex system-level...
hugging-face-endpoints-on-azure.md huggingface-and-amd.md huggingface-and-ibm.md if.md image-search-datasets.md image-similarity.md inference-endpoints.md inference-update.md infinity-cpu-performance.md informer.md instruction-tuning-sd.md intel-sapphire-rapids-inference.md in...
hugging-face-endpoints-on-azure.md huggingface-and-amd.md huggingface-and-ibm.md huggy-lingo.md huggylingo.md if.md image-search-datasets.md image-similarity.md inference-endpoints-llm.md inference-endpoints.md inference-update.md infinity-cpu-performance.md informer.md in...
hugging-face-endpoints-on-azure.md huggingface-and-amd.md huggingface-and-ibm.md huggingface-and-optimum-amd.md huggy-lingo.md huggylingo.md idefics.md if.md image-search-datasets.md image-similarity.md inference-endpoints-embeddings.md inference-endpoints-llm.md inference-...
17_the_partnership_amazon_sagemaker_and_hugging_face 18_big_bird 19_sagemaker_distributed_training_seq2seq 20_accelerate_library 21_bert_cpu_scaling_part_1 22_few_shot_learning_gpt_neo_and_inference_api 22_gradio 23_spacy 24_sahajBERT 25_hardware_partners_program 26_g...
17_the_partnership_amazon_sagemaker_and_hugging_face 18_big_bird 19_sagemaker_distributed_training_seq2seq 20_accelerate_library 21_bert_cpu_scaling_part_1 22_few_shot_learning_gpt_neo_and_inference_api 22_gradio 23_spacy 24_sahajBERT 25_hardware_partners_program 26_...