Instructions to use any0019/text_style_mlm_negative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use any0019/text_style_mlm_negative with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="any0019/text_style_mlm_negative")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("any0019/text_style_mlm_negative") model = AutoModelForMaskedLM.from_pretrained("any0019/text_style_mlm_negative") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin with git-lfs
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0791a050cab387ad9581ec4031e77f4cd2d6e94a47d9e9ffa34da0e46a656da
|
| 3 |
+
size 438141995
|