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
File size: 179 Bytes
d1753f2 | 1 2 3 4 5 6 7 8 | {
"image_token": "<IMG_CONTEXT>",
"num_additional_image_tokens": 1,
"patch_size": 14,
"processor_class": "LlavaProcessor",
"vision_feature_select_strategy": "default"
}
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