Instructions to use simonschoe/TransformationTransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonschoe/TransformationTransformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonschoe/TransformationTransformer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonschoe/TransformationTransformer") model = AutoModelForSequenceClassification.from_pretrained("simonschoe/TransformationTransformer") - Notebooks
- Google Colab
- Kaggle
Commit ·
9acedf8
1
Parent(s): 4149d5d
add model
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "./artifacts/model-
|
| 3 |
"architectures": [
|
| 4 |
"RobertaForSequenceClassification"
|
| 5 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "./artifacts/model-wgpwd0a3:v0",
|
| 3 |
"architectures": [
|
| 4 |
"RobertaForSequenceClassification"
|
| 5 |
],
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 328517293
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bbd77b3827d829e827ab517324d031cbc30fe53a382636f49e80261696d661b3
|
| 3 |
size 328517293
|