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
File size: 129 Bytes
6224a1e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:866f1cc9b6f3feabca20c430677396e36e96795e531edb0055447b38731b9b7b
size 3899
|