Instructions to use realsanjeev/sentence_classification_bitnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use realsanjeev/sentence_classification_bitnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="realsanjeev/sentence_classification_bitnet")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("realsanjeev/sentence_classification_bitnet") model = AutoModelForSequenceClassification.from_pretrained("realsanjeev/sentence_classification_bitnet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 673db480b011b8a302f3782fe74f14598730067c66840f16c9540929d6246c73
- Size of remote file:
- 5.11 kB
- SHA256:
- d2ab8b5bf3e2f6228410f9dcbff0c8bef2b78889a214eb85b0c99856c2d70da2
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