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:
- 38880049db4f0495308dbbb8d7b97dcbae8dcf8cc7d5d116474ca94b1ad24384
- Size of remote file:
- 9.95 GB
- SHA256:
- 2c6e70fdebcc12e5cb53c02bcf93f5eafecdfe31da1aa62db9a39ab5c7a73d39
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