Instructions to use Shadman-Rohan/FakevsRealNews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shadman-Rohan/FakevsRealNews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shadman-Rohan/FakevsRealNews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shadman-Rohan/FakevsRealNews") model = AutoModelForSequenceClassification.from_pretrained("Shadman-Rohan/FakevsRealNews") - Notebooks
- Google Colab
- Kaggle
Commit ·
361ac34
1
Parent(s): a0e2446
Training in progress, step 1200
Browse files- pytorch_model.bin +1 -1
- training_args.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 267851249
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9bb05f6aeaa469366cb4dc7bfa258722988f0a3770ce1f187c257fd7daf6d17
|
| 3 |
size 267851249
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2991
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2492d1f2ba703b65392b1f23e2f2eb4518f72a01beb76fa5f2cc1e29cf570603
|
| 3 |
size 2991
|