Instructions to use hyen/CEPED-LLaMA-2-Chat-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyen/CEPED-LLaMA-2-Chat-7B with Transformers:
# Load model directly from transformers import AutoTokenizer, LlamaForCausalContextLM tokenizer = AutoTokenizer.from_pretrained("hyen/CEPED-LLaMA-2-Chat-7B") model = LlamaForCausalContextLM.from_pretrained("hyen/CEPED-LLaMA-2-Chat-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 434d35c72f24dcadbcaed3bc546becea69c1e0dc4d9b49084e56a7d7b85f17a2
- Size of remote file:
- 4.22 GB
- SHA256:
- 821e1ef85650f5dae147c1b8c6eba9ac2f2ccbd9028b7cdc0f8712e4de183683
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