Instructions to use rose-e-wang/solution_a6000_0.00005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/solution_a6000_0.00005 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/solution_a6000_0.00005")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/solution_a6000_0.00005") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/solution_a6000_0.00005") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 20
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 1421595057
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1dd3ea4b5fe0dc1f14f84dc60bb0ecb92dafc69c31b2a890d36a2c4a60bff653
|
| 3 |
size 1421595057
|