Instructions to use MaggieZhang/lora_bert_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaggieZhang/lora_bert_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MaggieZhang/lora_bert_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MaggieZhang/lora_bert_classification") model = AutoModelForSequenceClassification.from_pretrained("MaggieZhang/lora_bert_classification") - Notebooks
- Google Colab
- Kaggle
Upload BertForSequenceClassification
Browse files- model.safetensors +2 -2
model.safetensors
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 sha256:30b513991a0bafec43c15bed17cbf4e7bc952e39222425c9df02f0144419d279
|
| 3 |
+
size 433270768
|