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 ·
e0927cc
1
Parent(s): 38ae638
Upload config.json
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "./models/roberta-retrained-
|
| 3 |
"architectures": [
|
| 4 |
"RobertaForSequenceClassification"
|
| 5 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "./models/roberta-retrained-yago_wiki",
|
| 3 |
"architectures": [
|
| 4 |
"RobertaForSequenceClassification"
|
| 5 |
],
|