Instructions to use johannes-garstenauer/bin_clean_seq_class_balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johannes-garstenauer/bin_clean_seq_class_balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="johannes-garstenauer/bin_clean_seq_class_balanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("johannes-garstenauer/bin_clean_seq_class_balanced") model = AutoModelForSequenceClassification.from_pretrained("johannes-garstenauer/bin_clean_seq_class_balanced") - 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:c6433840eb06fdd55f1987a9f3cb32fd52296081d6adb947a6e57e00c92b5c3a
|
| 3 |
+
size 266244336
|