Instructions to use atulkrs/my-sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atulkrs/my-sentiment-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="atulkrs/my-sentiment-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("atulkrs/my-sentiment-classifier") model = AutoModelForSequenceClassification.from_pretrained("atulkrs/my-sentiment-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fad471006b9e590f5a58b4187082bafb8287e2b2502ffb3cd66bc3a358117a13
- Size of remote file:
- 5.2 kB
- SHA256:
- 662f4e6a63e343efe34dabc6eebcc16aa29212733650966265edb3e7a8715286
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