Instructions to use Arthuerwang/roberta-base-tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthuerwang/roberta-base-tutorial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Arthuerwang/roberta-base-tutorial")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Arthuerwang/roberta-base-tutorial") model = AutoModelForMaskedLM.from_pretrained("Arthuerwang/roberta-base-tutorial") - Notebooks
- Google Colab
- Kaggle
Commit ·
7fc6de3
1
Parent(s): aec6575
Training in progress epoch 2
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498863417
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13f3c0666d13bba280c6295762c5585f61521b6a2e571c05699e660823cf4866
|
| 3 |
size 498863417
|