Instructions to use LexDLubbers/summary_hf_method with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LexDLubbers/summary_hf_method with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "LexDLubbers/summary_hf_method") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5e9873a0125280d89d288c84d6f10f24ffd568fe4a4b19a4031232dc9bed404
- Size of remote file:
- 5.3 kB
- SHA256:
- ff1cfea0e866632c1d9da6fac625c510f108a5ba592f98733d839267d5c006ee
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