Instructions to use leondz/refutation_detector_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leondz/refutation_detector_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leondz/refutation_detector_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leondz/refutation_detector_distilbert") model = AutoModelForSequenceClassification.from_pretrained("leondz/refutation_detector_distilbert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:46487fb35f2c8142fb46d9dcedda6765843bc506b0e2880948394ffc7fe8f976
|
| 3 |
+
size 267832560
|