@@ -14,4 +14,4 @@ Pull Request and we'll review it so it can be included here.
...
@@ -14,4 +14,4 @@ Pull Request and we'll review it so it can be included here.
| [Getting Started Tokenizers](01-training_tokenizers.ipynb) | How to train and use your very own tokenizer |[](https://colab.research.google.com/github/huggingface/transformers/blob/docker-notebooks/notebooks/01-training-tokenizers.ipynb) |
| [Getting Started Tokenizers](01-training_tokenizers.ipynb) | How to train and use your very own tokenizer |[](https://colab.research.google.com/github/huggingface/transformers/blob/docker-notebooks/notebooks/01-training-tokenizers.ipynb) |
| [Getting Started Transformers](02-transformers.ipynb) | How to easily start using transformers | [](https://colab.research.google.com/github/huggingface/transformers/blob/docker-notebooks/notebooks/01-training-tokenizers.ipynb) |
| [Getting Started Transformers](02-transformers.ipynb) | How to easily start using transformers | [](https://colab.research.google.com/github/huggingface/transformers/blob/docker-notebooks/notebooks/01-training-tokenizers.ipynb) |
| [How to use Pipelines](03-pipelines.ipynb) | Simple and efficient way to use State-of-the-Art models on downstream tasks through transformers | [](https://colab.research.google.com/github/huggingface/transformers/blob/docker-notebooks/notebooks/01-training-tokenizers.ipynb) |
| [How to use Pipelines](03-pipelines.ipynb) | Simple and efficient way to use State-of-the-Art models on downstream tasks through transformers | [](https://colab.research.google.com/github/huggingface/transformers/blob/docker-notebooks/notebooks/01-training-tokenizers.ipynb) |
| [How to train a language model](https://github.com/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb)| Highlight all the steps to effectively train Transformer model on custom data | [](https://colab.research.google.com/github/vochicong/blog/blob/fix-notebook-add-tokenizer-config/notebooks/01_how_to_train.ipynb)|
| [How to train a language model](https://github.com/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb)| Highlight all the steps to effectively train Transformer model on custom data | [](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb)|