Instructions to use llm-wizard/llama38binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llm-wizard/llama38binstruct_summarize with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "llm-wizard/llama38binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df77639d7ad54d6ebfd0dce88dfb54af2ece9c98b46acad9ea496204d283c30e
- Size of remote file:
- 168 MB
- SHA256:
- 3e9d4c0f52c8eccf0b29f14f9db91d438725d9da5b1a065f582fcbc1b41edbb8
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