Text Classification
Transformers
Safetensors
Persian
bert
classification
parsbert
persian
persain_classification
text-embeddings-inference
Instructions to use NLPclass/bert_classification_persian_emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPclass/bert_classification_persian_emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NLPclass/bert_classification_persian_emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NLPclass/bert_classification_persian_emotion") model = AutoModelForSequenceClassification.from_pretrained("NLPclass/bert_classification_persian_emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b459b7bb6638f6a6ebe9deafbb17dce666a09361df0529ae06e586779c80a843
- Size of remote file:
- 5.18 kB
- SHA256:
- 9fc02fa59ace29c2c2c7e945972b8df84b46e348409cbacb9dadcc1f33bddc36
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