Instructions to use fedovtt/4b36c8d6-1ffb-4483-a422-50b1f33caaba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/4b36c8d6-1ffb-4483-a422-50b1f33caaba with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "fedovtt/4b36c8d6-1ffb-4483-a422-50b1f33caaba") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06e72cf1c0af0156a90ed09d99a2b354fafcc6396cade963669ce11eac19f188
- Size of remote file:
- 6.78 kB
- SHA256:
- 419c32cb4a74b55d01a56aa490e69d4a73057ffddc98e19cf2a2845fe13988bc
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