Instructions to use kangaroo927/test_auto_protocol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kangaroo927/test_auto_protocol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kangaroo927/test_auto_protocol")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kangaroo927/test_auto_protocol") model = AutoModelForSequenceClassification.from_pretrained("kangaroo927/test_auto_protocol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
952d76b
1
Parent(s): 105927f
add model
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 433382153
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad6fc2e4c1027fb6bd003e45708a3e5a2224d7ab87d5a7eb44b24f265b21a83f
|
| 3 |
size 433382153
|