Instructions to use NLPclass/bert_textclassification_persiandata2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPclass/bert_textclassification_persiandata2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NLPclass/bert_textclassification_persiandata2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NLPclass/bert_textclassification_persiandata2") model = AutoModelForSequenceClassification.from_pretrained("NLPclass/bert_textclassification_persiandata2") - Notebooks
- Google Colab
- Kaggle
Upload model.safetensors
Browse files- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2e6b5a002b254264fbea1eff14a31a21488654956839a514915f75760ff474e
|
| 3 |
+
size 651407376
|