Instructions to use ji-xin/roberta_base-RTE-two_stage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ji-xin/roberta_base-RTE-two_stage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ji-xin/roberta_base-RTE-two_stage")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("ji-xin/roberta_base-RTE-two_stage", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de0a37bb2236815a6d8060fea6dfb02c498699bac518d690a3086c970b4bd02f
|
| 3 |
+
size 1536
|