Instructions to use atifquamar07/llama-3.1-8b-HH-DPO-0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atifquamar07/llama-3.1-8b-HH-DPO-0.5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("atifquamar07/llama-3.1-8b-HH-DPO-0.5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4a0837d93ac806f5b1ece64187a7d9b62af780f0b43cd066813331267cca121
- Size of remote file:
- 6.74 kB
- SHA256:
- 14e0cda26ded2a1cd492f8661b028bcbc0584e2355fa6f69f93fe5c37c5baccd
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