Instructions to use YL95/naive_chunk0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YL95/naive_chunk0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("abhishek/llama-2-7b-hf-small-shards") model = PeftModel.from_pretrained(base_model, "YL95/naive_chunk0") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from YL95/naive_chunk0: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/YL95/naive_chunk0/resolve/main/training_args.bin
- Command line
-
hf download hf://YL95/naive_chunk0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/YL95/naive_chunk0/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 077afb5e1fb9fb7c4dae0f844cd58b3e5687ce8db92d36b693710afee8119193
- Size of remote file:
- 4.09 kB
- SHA256:
- ec16f148ea507b2447b7c830cad871b0777f0e08a0040146d300aac59e2cf57b
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