Instructions to use behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters_SystemError0.6_Seed102 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters_SystemError0.6_Seed102 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Trelis/Llama-2-7b-chat-hf-sharded-bf16") model = PeftModel.from_pretrained(base_model, "behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters_SystemError0.6_Seed102") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d467b9e98143c8f38cda5d8c874e01dce79d64a6f6c8d64f0d7c9448d4c53a07
- Size of remote file:
- 67.2 MB
- SHA256:
- 93609ae3a8ac8104fead9f0e9964a3fae083686cb6483f219f9fc50282056d4c
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