Instructions to use rahulkhandelw/MoodPrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahulkhandelw/MoodPrediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rahulkhandelw/MoodPrediction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rahulkhandelw/MoodPrediction") model = AutoModelForTokenClassification.from_pretrained("rahulkhandelw/MoodPrediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 472f50d3c1688364433b84bb7bb96f1154519b559aab0e947d042e09c5c7fc0a
- Size of remote file:
- 3.9 kB
- SHA256:
- 866f1cc9b6f3feabca20c430677396e36e96795e531edb0055447b38731b9b7b
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