Instructions to use junmeng-sf/distilbert-base-category-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use junmeng-sf/distilbert-base-category-classifier with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased") model = PeftModel.from_pretrained(base_model, "junmeng-sf/distilbert-base-category-classifier") - Transformers
How to use junmeng-sf/distilbert-base-category-classifier with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("junmeng-sf/distilbert-base-category-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2971428
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5691e7f3789447b068d7ae03bb84e255543ed6bd1d4aee9c9ab93e4734b0d36a
|
| 3 |
size 2971428
|