Instructions to use ar3xop/arcane-33b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ar3xop/arcane-33b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./vicuna-33B") model = PeftModel.from_pretrained(base_model, "ar3xop/arcane-33b-lora") - Notebooks
- Google Colab
- Kaggle
Download rng_state_3.pth from ar3xop/arcane-33b-lora: direct link, hf CLI and curl.
- Browser
- Download file 17.7 kB
-
https://huggingface.co/ar3xop/arcane-33b-lora/resolve/a93a39ecb37588dcbc12d3accdf711b9ddce7b43/rng_state_3.pth
- Command line
-
hf download hf://ar3xop/arcane-33b-lora@a93a39ecb37588dcbc12d3accdf711b9ddce7b43/rng_state_3.pth
-
curl -L -o rng_state_3.pth https://huggingface.co/ar3xop/arcane-33b-lora/resolve/a93a39ecb37588dcbc12d3accdf711b9ddce7b43/rng_state_3.pth
17.7 kB
- Xet hash:
- 77234d4c62ceb251d79ef36fcea92f512e0ded08174f23329f71f9b815d0632e
- Size of remote file:
- 17.7 kB
- SHA256:
- 2fd77c97470cfb03d03d77dbf1c8ff41ea4d1427b3a66d4c9e420f4ef5a40804
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