readme: fix newlines
Browse files
README.md
CHANGED
|
@@ -19,8 +19,11 @@ The GC4 corpus - that was used for training - contains crawled texts from the in
|
|
| 19 |
be considered as highly biased, resulting in a model that encodes stereotypical associations along gender, race,
|
| 20 |
ethnicity and disability status. Before using and working with the released checkpoints, it is highly recommended
|
| 21 |
to read:
|
|
|
|
| 22 |
[On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?](https://faculty.washington.edu/ebender/papers/Stochastic_Parrots.pdf)
|
|
|
|
| 23 |
from Emily M. Bender, Timnit Gebru, Angelina McMillan-Major and Shmargaret Shmitchell.
|
|
|
|
| 24 |
The aim of the released checkpoints is to boost research on large pre-trained language models for German, especially
|
| 25 |
for identifying biases and how to prevent them, as most research is currently done only for English.
|
| 26 |
|
|
|
|
| 19 |
be considered as highly biased, resulting in a model that encodes stereotypical associations along gender, race,
|
| 20 |
ethnicity and disability status. Before using and working with the released checkpoints, it is highly recommended
|
| 21 |
to read:
|
| 22 |
+
|
| 23 |
[On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?](https://faculty.washington.edu/ebender/papers/Stochastic_Parrots.pdf)
|
| 24 |
+
|
| 25 |
from Emily M. Bender, Timnit Gebru, Angelina McMillan-Major and Shmargaret Shmitchell.
|
| 26 |
+
|
| 27 |
The aim of the released checkpoints is to boost research on large pre-trained language models for German, especially
|
| 28 |
for identifying biases and how to prevent them, as most research is currently done only for English.
|
| 29 |
|