Instructions to use jluckyboyj/train_crawdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jluckyboyj/train_crawdata with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vlsp-2023-vllm/hoa-7b") model = PeftModel.from_pretrained(base_model, "jluckyboyj/train_crawdata") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from jluckyboyj/train_crawdata: direct link, hf CLI and curl.
- Browser
- Download file 132 kB
-
https://huggingface.co/jluckyboyj/train_crawdata/resolve/main/adapter_model.bin
- Command line
-
hf download hf://jluckyboyj/train_crawdata/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/jluckyboyj/train_crawdata/resolve/main/adapter_model.bin
132 kB
- Xet hash:
- ffa381e33eb7077a958b3d7277aff97306b0340bb1de1af0e23ac7ecba23b44a
- Size of remote file:
- 132 kB
- SHA256:
- b2ef3764c2314ce0f7c086b36e9b20b5aa03f1059b3f603c64832f670deab64b
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