Instructions to use owen198/philosophy-ROCBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use owen198/philosophy-ROCBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="owen198/philosophy-ROCBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("owen198/philosophy-ROCBERT") model = AutoModelForSequenceClassification.from_pretrained("owen198/philosophy-ROCBERT") - Notebooks
- Google Colab
- Kaggle
Upload RoCBertForSequenceClassification
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 469100744
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0a50eeed35bb54d5fa77e97f88ce4a12e73c35eb37a9041d153fe00667c3d4c9
|
| 3 |
size 469100744
|