Instructions to use voidful/Llama-Typhoon-8B-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/Llama-Typhoon-8B-R1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="voidful/Llama-Typhoon-8B-R1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("voidful/Llama-Typhoon-8B-R1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- b60477c7f1d80d2d117e937eff90859dc930608289a4d8dbc6299e34ea8b9c5b
- Size of remote file:
- 1.01 MB
- SHA256:
- e200daf5eb86a233e6a8ce41783335a9490f9a2cd364580779b5cf3bc141d6a4
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