Instructions to use rose-e-wang/priorKnowledge_a6000_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/priorKnowledge_a6000_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/priorKnowledge_a6000_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/priorKnowledge_a6000_3") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/priorKnowledge_a6000_3") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
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 sha256:421fe7726250ecef146574a96ac931142fd6194ca04b8fd52da45c86fdea0786
|
| 3 |
size 1421595057
|