Instructions to use eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a/resolve/ebac9d2b70f1a7ce8695e32ad0009554d2e4daf3/training_args.bin
- Command line
-
hf download hf://eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a@ebac9d2b70f1a7ce8695e32ad0009554d2e4daf3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a/resolve/ebac9d2b70f1a7ce8695e32ad0009554d2e4daf3/training_args.bin
6.84 kB
- Xet hash:
- 82f50d1d6822d68e7b9f8c26a632c4f11b339f429533467a02f4ba7145b6210e
- Size of remote file:
- 6.84 kB
- SHA256:
- 03b6284f5743bf70385be7dcb78e5e03542b53e39622e2199465cf51bf58f708
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