Instructions to use GMorgulis/deepseek-llm-7b-chat-lion_lora_sgd3e1-STEER0.2875-ft4.42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GMorgulis/deepseek-llm-7b-chat-lion_lora_sgd3e1-STEER0.2875-ft4.42 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GMorgulis/deepseek-llm-7b-chat-lion_lora_sgd3e1-STEER0.2875-ft4.42", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9537475d605cc59eb32a5c59c447221f0e17577163ccfc4ac47b55038f67effe
- Size of remote file:
- 75 MB
- SHA256:
- aa05f03435c4a23995f02626b50dde5bb8fbfbbc72ff32595534a8222477d326
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