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
Update README.md
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README.md
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metrics:
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- accuracy
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pipeline_tag: text-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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metrics:
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- accuracy
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pipeline_tag: text-classification
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datasets:
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- SeyedAli/Persian-Text-Emotion
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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