Instructions to use prakod/Llama-3.2-3B-cline-osn-roman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prakod/Llama-3.2-3B-cline-osn-roman with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="prakod/Llama-3.2-3B-cline-osn-roman")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("prakod/Llama-3.2-3B-cline-osn-roman") model = AutoModelForSequenceClassification.from_pretrained("prakod/Llama-3.2-3B-cline-osn-roman") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e20e2796c6e1cee3451cf8dc8640f6dfb9f1e38f6108aa033a219ca1a2fd3ac3
- Size of remote file:
- 5 GB
- SHA256:
- fc42274454b355d0ac66d7fd818eefd195a3d097ef9267876145a5aaa396834a
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