[Reformer] Move model card to google model (#4113)
* correct model card * remove model card from patrick von platen
This commit is contained in:
committed by
GitHub
parent
d713cfc5eb
commit
2d8340a91f
@@ -3,9 +3,8 @@ Crime and Punishment text was taken from `gs://trax-ml/reformer/crime-and-punish
|
|||||||
Model was trained in flax using colab notebook proposed by authors: https://colab.research.google.com/github/google/trax/blob/master/trax/models/reformer/text_generation.ipynb
|
Model was trained in flax using colab notebook proposed by authors: https://colab.research.google.com/github/google/trax/blob/master/trax/models/reformer/text_generation.ipynb
|
||||||
Weights were converted to Hugging Face PyTorch `ReformerModelWithLMHead`.
|
Weights were converted to Hugging Face PyTorch `ReformerModelWithLMHead`.
|
||||||
|
|
||||||
Model is used as a proof of concept that the forward pass works for a `ReformerModelWithLMHead`.
|
The model is a character level language model. Language from in `crime-and-punishment` style
|
||||||
Given that the model was trained only for 30mins on a ~0.5M tokens dataset and has only 320 tokens,
|
can be generated as follows:
|
||||||
the generation results are reasonable:
|
|
||||||
|
|
||||||
```python
|
```python
|
||||||
model = ReformerModelWithLMHead.from_pretrained("patrickvonplaten/reformer-crime-and-punish")
|
model = ReformerModelWithLMHead.from_pretrained("patrickvonplaten/reformer-crime-and-punish")
|
||||||
Reference in New Issue
Block a user