Instructions to use 1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from 1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111/resolve/main/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- 9c8cbf4821eb427ff181c4663f994cd5437705db19a3be91b29a331101e3d531
- Size of remote file:
- 6.84 kB
- SHA256:
- 1be9040c1a497d95fb45cee6cf1dc9b5ef9c06a6c9c65a719f71b2650347f0e6
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