Instructions to use simenaabol/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simenaabol/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simenaabol/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simenaabol/results") model = AutoModelForSequenceClassification.from_pretrained("simenaabol/results") - Notebooks
- Google Colab
- Kaggle
Commit ·
48fba94
1
Parent(s): 405b1ef
End of training
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 498163829
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4442a13b79497faf4ed5a601c250e06421624d6679a830fd1b088ab8d04a5c7f
|
| 3 |
size 498163829
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3387
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7120a9934938697ecaf0901498ed842391c9998cfe3f88fd4229d284c24481b4
|
| 3 |
size 3387
|