Instructions to use nisten/bigdoc-c13b-python-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nisten/bigdoc-c13b-python-fp16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-13B-Python-hf") model = PeftModel.from_pretrained(base_model, "nisten/bigdoc-c13b-python-fp16") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nisten/bigdoc-c13b-python-fp16: direct link, hf CLI and curl.
- Browser
- Download file 236 MB
-
https://huggingface.co/nisten/bigdoc-c13b-python-fp16/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nisten/bigdoc-c13b-python-fp16/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nisten/bigdoc-c13b-python-fp16/resolve/main/adapter_model.bin
236 MB
- Xet hash:
- 2d997d823c6391a9f30421b8ef83e66988f1a2048bc9eddfa2fdcf6d175483c1
- Size of remote file:
- 236 MB
- SHA256:
- ad94910893b615483c5db9702a345fe88d8b732a65536e722b8394558a4c9323
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.