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 adapter_model.bin from YL95/naive_chunk0: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/YL95/naive_chunk0/resolve/main/adapter_model.bin
- Command line
-
hf download hf://YL95/naive_chunk0/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/YL95/naive_chunk0/resolve/main/adapter_model.bin
33.6 MB
- Xet hash:
- 0010b92b46f3da3f23e66aacbaf5f6cc502c9df9a2a5b0a40c3116acae7ec160
- Size of remote file:
- 33.6 MB
- SHA256:
- 3bfc7abc8d4b56f081d353573a5181f17c34829d985cf06d11d32bc5e3910518
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