Instructions to use alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-360M-Instruct") model = PeftModel.from_pretrained(base_model, "alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a/resolve/main/training_args.bin
- Command line
-
hf download hf://alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alchemist69/801641e5-b7f2-4246-a4fc-42288194bb5a/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 0e62d558ab5be13ccf018e2bc750e247902d55315fa0ec8697197e5403c376fb
- Size of remote file:
- 6.84 kB
- SHA256:
- bf5b8889775e088fde76f9b8ea162fd169767f6015324bd0e6d5088209cc6fba
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