Instructions to use valteu/nlg_lora_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use valteu/nlg_lora_v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "valteu/nlg_lora_v1") - Notebooks
- Google Colab
- Kaggle
Download profiler_cache.csv from valteu/nlg_lora_v1: direct link, hf CLI and curl.
- Browser
- Download file 13.1 MB
-
https://huggingface.co/valteu/nlg_lora_v1/resolve/main/profiler_cache.csv
- Command line
-
hf download hf://valteu/nlg_lora_v1/profiler_cache.csv
-
curl -L -o profiler_cache.csv https://huggingface.co/valteu/nlg_lora_v1/resolve/main/profiler_cache.csv
13.1 MB
- Xet hash:
- 14e5aac0471593a1ac9ae8e78d67b281be8a56c6bb98abdf8adda4c4e5fc7179
- Size of remote file:
- 13.1 MB
- SHA256:
- 87d591aa46c43a7736b17da2c1df724a8ae17916a8d57b7337667a077b8c0744
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