Instructions to use benjamin/zett-hypernetwork-Meta-Llama-3-8B-experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/zett-hypernetwork-Meta-Llama-3-8B-experimental with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="benjamin/zett-hypernetwork-Meta-Llama-3-8B-experimental", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("benjamin/zett-hypernetwork-Meta-Llama-3-8B-experimental", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Hypernetwork for Zero-Shot Tokenizer Transfer, see https://github.com/bminixhofer/zett
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