Remove non-breaking spaces (#20929)
* Remove non-breaking space in comment It was likely added unintionally. * Remove remaining non-breaking spaces
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@@ -1209,7 +1209,7 @@ All the widgets are open sourced in the `huggingface_hub` [repo](https://github.
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* **Text to Speech**: Convert text to audio.
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**Image**
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* **Image Classification:** Given an image, predict its class. [Example](https://huggingface.co/osanseviero/llamastic).
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* **Image Classification:** Given an image, predict its class. [Example](https://huggingface.co/osanseviero/llamastic).
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* ([WIP](https://github.com/huggingface/huggingface_hub/issues/100)) **Zero Shot Image Classification**
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* ([WIP](https://github.com/huggingface/huggingface_hub/issues/112)) **Image Captioning**
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* ([WIP](https://github.com/huggingface/huggingface_hub/issues/113)) **Text to Image Generation**
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@@ -188,18 +188,18 @@ Some of them are metrics, some of them are checkpoints, some of them are metadat
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```bash
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output_dir
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├── best_tfmr # this is a huggingface checkpoint generated by save_pretrained. It is the same model as the PL .ckpt file below
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│ ├── config.json
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│ ├── merges.txt
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│ ├── pytorch_model.bin
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│ ├── special_tokens_map.json
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│ ├── tokenizer_config.json
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│ └── vocab.json
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│ ├── config.json
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│ ├── merges.txt
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│ ├── pytorch_model.bin
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│ ├── special_tokens_map.json
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│ ├── tokenizer_config.json
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│ └── vocab.json
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├── git_log.json # repo, branch, and commit hash
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├── val_avg_rouge2=0.1984-step_count=11.ckpt # this is a pytorch lightning checkpoint associated with the best val score. (it will be called BLEU for MT)
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├── metrics.json # new validation metrics will continually be appended to this
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├── student # this is a huggingface checkpoint generated by SummarizationDistiller. It is the student before it gets finetuned.
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│ ├── config.json
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│ └── pytorch_model.bin
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│ ├── config.json
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│ └── pytorch_model.bin
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├── test_generations.txt
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# ^^ are the summaries or translations produced by your best checkpoint on the test data. Populated when training is done
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├── test_results.txt # a convenience file with the test set metrics. This data is also in metrics.json['test']
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