Instructions to use Nuvotex/support-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nuvotex/support-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nuvotex/support-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nuvotex/support-classification") model = AutoModelForSequenceClassification.from_pretrained("Nuvotex/support-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
e5106e3
1
Parent(s): 6cf7494
Upload BertForSequenceClassification
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a00242f7e6ce66fd7b42154b9205674f52f5e6dbe821b8a09b5b0b4048dcdb8
|
| 3 |
+
size 439788782
|