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This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

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### Notebook with bug Computer_vision_workloads/Semantic_segmentation/Scaling_batch_inference.ipynb ### What happened? Import as well as other dependencies need to be fixed for chekpoint related changes. #from ray.air import Checkpoint from ray.train import Checkpoint...

bug

Remove url pointing to a 404 url # Changes summary *Fixes #ISSUE_NUMBER* https://github.com/ray-project/ray-educational-materials/issues/111 *Summary of changes in this PR* Remove a broken image url in the list. The broken image...

### Notebook with bug Ray_Core_1_Remote_Functions.ipynb ### What happened? Running [this cell](https://github.com/ray-project/ray-educational-materials/compare/main...KevinYang21:ray-educational-materials:patch-1) gives ``` UnidentifiedImageError: cannot identify image file '**/ray-educational-materials/Ray_Core/task_images/stennis.jpg' ``` ### Environment info Ray: 2.3.1 Python: 3.10.12 OS: Ubuntu 22.04...

bug

### Notebook with bug LLM_finetuning_and_batch_inference.ipynb ### What happened? Get the following errors while running the following cell `trainer = HuggingFaceTrainer( trainer_init_per_worker=trainer_init_per_worker, scaling_config=ScalingConfig(num_workers=num_workers, use_gpu=use_gpu), datasets={ "train": train_dataset, "evaluation": validation_dataset, }, run_config=RunConfig(...

bug

### Please share your suggestion here Should the labels in preprocess_function be enconded output? It seems to used input_ids as label instead of output.

suggestion