Instructions to use AetherPrior/causalaxiomsv2_llama3_8b_instruct_loraft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AetherPrior/causalaxiomsv2_llama3_8b_instruct_loraft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AetherPrior/causalaxiomsv2_llama3_8b_instruct_loraft")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AetherPrior/causalaxiomsv2_llama3_8b_instruct_loraft") model = AutoModel.from_pretrained("AetherPrior/causalaxiomsv2_llama3_8b_instruct_loraft") - Notebooks
- Google Colab
- Kaggle
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