[doc] Fix broken links + remove crazy big notebook
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@@ -414,7 +414,7 @@ Training with these hyper-parameters gave us the following results:
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This example code fine-tunes BERT on the SQuAD dataset using distributed training on 8 V100 GPUs and Bert Whole Word Masking uncased model to reach a F1 > 93 on SQuAD:
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```bash
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python -m torch.distributed.launch --nproc_per_node=8 ./examples/run_squad.py \
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python -m torch.distributed.launch --nproc_per_node=8 ./examples/question-answering/run_squad.py \
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--model_type bert \
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--model_name_or_path bert-large-uncased-whole-word-masking \
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--do_train \
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@@ -447,7 +447,7 @@ The generation script includes the [tricks](https://github.com/rusiaaman/XLNet-g
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Here is how to run the script with the small version of OpenAI GPT-2 model:
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```shell
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python ./examples/run_generation.py \
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python ./examples/text-generation/run_generation.py \
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--model_type=gpt2 \
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--length=20 \
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--model_name_or_path=gpt2 \
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@@ -455,7 +455,7 @@ python ./examples/run_generation.py \
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and from the Salesforce CTRL model:
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```shell
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python ./examples/run_generation.py \
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python ./examples/text-generation/run_generation.py \
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--model_type=ctrl \
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--length=20 \
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--model_name_or_path=ctrl \
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