Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model263 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model263 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model263")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model263") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model263") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437958648
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf361bc12d377d3436ff4811fced65ee0ae393677a8c60e01d3cde28591d1dc1
|
| 3 |
size 437958648
|
runs/Jan22_23-33-52_bf5d572c1e11/events.out.tfevents.1737588833.bf5d572c1e11.1060.81
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f2f7b7c1ed5e66e0109f41cfcfa10d9ef1b4408a3fe563242023ecfae770a8c7
|
| 3 |
+
size 8076
|