Instructions to use NLPclass/bert_classification_emotion_persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPclass/bert_classification_emotion_persian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NLPclass/bert_classification_emotion_persian")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NLPclass/bert_classification_emotion_persian") model = AutoModelForSequenceClassification.from_pretrained("NLPclass/bert_classification_emotion_persian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54261ff3f9d1f37a73a01eb353b9688737f4627002bef5caa5b299069f784bcf
- Size of remote file:
- 651 MB
- SHA256:
- 111528553fb905d954e20193936514c997fe8adfd780da02009d9d6734ccb581
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