Instructions to use laquythang/12b62181-2609-42a8-a36c-66bccab20447 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/12b62181-2609-42a8-a36c-66bccab20447 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "laquythang/12b62181-2609-42a8-a36c-66bccab20447") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from laquythang/12b62181-2609-42a8-a36c-66bccab20447: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/laquythang/12b62181-2609-42a8-a36c-66bccab20447/resolve/main/training_args.bin
- Command line
-
hf download hf://laquythang/12b62181-2609-42a8-a36c-66bccab20447/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/laquythang/12b62181-2609-42a8-a36c-66bccab20447/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 6aa0195de76a3cac8d8bcc788210732c21b4e6e1b41385b4bec7e3dad136de5d
- Size of remote file:
- 6.78 kB
- SHA256:
- 7410a931986a4043a745838149a80ca8c1755756c33c370c757fa11396062daf
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