Instructions to use ColeH0415/comp90042-deberta-factcheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ColeH0415/comp90042-deberta-factcheck with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ColeH0415/comp90042-deberta-factcheck")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ColeH0415/comp90042-deberta-factcheck") model = AutoModelForSequenceClassification.from_pretrained("ColeH0415/comp90042-deberta-factcheck") - Notebooks
- Google Colab
- Kaggle
Best checkpoint epoch 3 F1=0.6150
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 737725408
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5deb4bf51f6905d36f3681a4da6f8cc2234eebfa9c69601641716699b4cbc2f
|
| 3 |
size 737725408
|