Instructions to use artefactory/BERTJudge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artefactory/BERTJudge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="artefactory/BERTJudge", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("artefactory/BERTJudge", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("artefactory/BERTJudge", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,10 +1,12 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
| 2 |
datasets:
|
| 3 |
- hgissbkh/BERTJudge-Dataset
|
| 4 |
language:
|
| 5 |
- en
|
| 6 |
-
|
| 7 |
-
|
| 8 |
---
|
| 9 |
# BERTJudge
|
| 10 |
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model:
|
| 3 |
+
- EuroBERT/EuroBERT-210m
|
| 4 |
datasets:
|
| 5 |
- hgissbkh/BERTJudge-Dataset
|
| 6 |
language:
|
| 7 |
- en
|
| 8 |
+
library_name: transformers
|
| 9 |
+
pipeline_tag: text-classification
|
| 10 |
---
|
| 11 |
# BERTJudge
|
| 12 |
|