Instructions to use thakkkkkk/4cdc599b-d43b-47e9-aaa1-28a3ceb15d48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thakkkkkk/4cdc599b-d43b-47e9-aaa1-28a3ceb15d48 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "thakkkkkk/4cdc599b-d43b-47e9-aaa1-28a3ceb15d48") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thakkkkkk/4cdc599b-d43b-47e9-aaa1-28a3ceb15d48: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/thakkkkkk/4cdc599b-d43b-47e9-aaa1-28a3ceb15d48/resolve/main/training_args.bin
- Command line
-
hf download hf://thakkkkkk/4cdc599b-d43b-47e9-aaa1-28a3ceb15d48/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thakkkkkk/4cdc599b-d43b-47e9-aaa1-28a3ceb15d48/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 4d611bdb90df70efcaab92cdaab45e3f88ddd743b2f405d2377a6cc21fec5190
- Size of remote file:
- 6.78 kB
- SHA256:
- c3089e39a6a42568c0216b8fc49eb172779de9bbf530a08c83aee8ffef407966
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.