PEFT
Safetensors
lora
character-ai
conversational-ai
samantha
her-movie
fine-tuning
academic-project
Instructions to use urosaron/samantha-lora-simple-advanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use urosaron/samantha-lora-simple-advanced with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "urosaron/samantha-lora-simple-advanced") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from urosaron/samantha-lora-simple-advanced: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/urosaron/samantha-lora-simple-advanced/resolve/main/training_args.bin
- Command line
-
hf download hf://urosaron/samantha-lora-simple-advanced/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/urosaron/samantha-lora-simple-advanced/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 894357600b36178e7210120ab3701da8ec415d420220df6ad8a7d94fc85f3041
- Size of remote file:
- 5.71 kB
- SHA256:
- b80393b1ef9459702b56f39913899c90b8954f6e0fe458cda42fba480697be02
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