Instructions to use aref-j/emotion-classifier-bert-fa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aref-j/emotion-classifier-bert-fa-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aref-j/emotion-classifier-bert-fa-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aref-j/emotion-classifier-bert-fa-v1") model = AutoModelForSequenceClassification.from_pretrained("aref-j/emotion-classifier-bert-fa-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd624cdf9eb1997d160d2ff3c888d3d359ca2c7103012549578a7584c9585f64
- Size of remote file:
- 5.3 kB
- SHA256:
- 0faeaf7a8c75b0c132c07a874ade0636a8e956741ea6c4fd4a43661ab904b2e6
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