Instructions to use DNThe24/real-caller-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DNThe24/real-caller-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DNThe24/real-caller-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DNThe24/real-caller-model") model = AutoModelForSequenceClassification.from_pretrained("DNThe24/real-caller-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9955c3614aea0581f7e5f67f584f37e52e8e33a168088c6099a9bd39cfe58337
- Size of remote file:
- 5.71 kB
- SHA256:
- f9d855e047c1a33865f7f13f83a6695d1e659bf53e13cdb625adc7c5b22cb96e
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