Instructions to use bunsenfeng/FactKB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bunsenfeng/FactKB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bunsenfeng/FactKB")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bunsenfeng/FactKB") model = AutoModelForSequenceClassification.from_pretrained("bunsenfeng/FactKB") - Notebooks
- Google Colab
- Kaggle
Commit ·
4fd40bb
1
Parent(s): e0927cc
Upload pytorch_model.bin
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 498657517
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06abb4bf38c9b69d6976e27f39439a2df6865edc059d33d9695bed757d63f47b
|
| 3 |
size 498657517
|