Text Classification
Transformers
Safetensors
Persian
xlm-roberta
sentiment-analysis
persian
text-embeddings-inference
Instructions to use frameai/PersianSentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frameai/PersianSentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="frameai/PersianSentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("frameai/PersianSentiment") model = AutoModelForSequenceClassification.from_pretrained("frameai/PersianSentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21f01235b8f3acc4f475ed9bde10d748c30cc9304a728ede8e53f2d8595c6036
- Size of remote file:
- 5.24 kB
- SHA256:
- b5ca2cef10b94920dcbcc3b9cd54c0948da4a0947897ea88575e16e1dc113b07
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