Instructions to use dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-13b-hf-flash") model = PeftModel.from_pretrained(base_model, "dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 114d026097ca061bab402182c7b06ec4a7094918143b6d9a42dd50bf1c9b3a33
- Size of remote file:
- 6.71 kB
- SHA256:
- d3e7963de4dd49c6befb75b274ac8a2f580f6dc81b3769e8b955bb6f3065d028
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