Instructions to use Patcas/distilbert-3ssclass-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/distilbert-3ssclass-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Patcas/distilbert-3ssclass-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Patcas/distilbert-3ssclass-classification") model = AutoModelForSequenceClassification.from_pretrained("Patcas/distilbert-3ssclass-classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267835644
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ae38ffc4a49d566711f2635f37bf525640f46921f0d764c82bd01a630255e06e
|
| 3 |
size 267835644
|