Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Transformers doc fixes #1043

Merged
merged 1 commit into from
May 25, 2023
Merged

Transformers doc fixes #1043

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions src/deepsparse/transformers/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -100,7 +100,7 @@ for the `question` as a substring of the `context`. The following examples use
question answering BERT model trained on the `SQuAD` dataset downloaded by default from the SparseZoo.

[List of available SparseZoo Question Answering Models](
https://sparsezoo.neuralmagic.com/?page=1&domain=nlp&sub_domain=question_answering)
https://sparsezoo.neuralmagic.com/?useCase=question_answering)

#### Python Pipeline

Expand Down Expand Up @@ -144,7 +144,7 @@ uses a pruned and quantized text sentiment analysis BERT model trained on the `s
from the SparseZoo. This `sst2` model classifies sentences as positive or negative.

[List of available SparseZoo Sentiment Analysis Models](
https://sparsezoo.neuralmagic.com/?domain=nlp&sub_domain=sentiment_analysis)
https://sparsezoo.neuralmagic.com/?useCase=sentiment_analysis)

#### Python Pipeline
```python
Expand Down Expand Up @@ -190,7 +190,7 @@ DistilBERT model trained on the `qqp` dataset downloaded from a SparseZoo stub.
The `qqp` dataset takes pairs of questions and predicts if they are a duplicate or not.

[List of available SparseZoo Text Classification Models](
https://sparsezoo.neuralmagic.com/?page=1&domain=nlp&sub_domain=text_classification)
https://sparsezoo.neuralmagic.com/?useCase=text_classification)

#### Python Pipeline
```python
Expand Down Expand Up @@ -249,7 +249,7 @@ The following example uses a pruned and quantized token classification NER BERT
trained on the `CoNLL` dataset downloaded from the SparseZoo.

[List of available SparseZoo Token Classification Models](
https://sparsezoo.neuralmagic.com/?page=1&domain=nlp&sub_domain=token_classification)
https://sparsezoo.neuralmagic.com/?useCase=token_classification)

#### Python Pipeline
```python
Expand Down
Loading