Instructions to use ZhanQU/few_shot_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZhanQU/few_shot_test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "ZhanQU/few_shot_test") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ZhanQU/few_shot_test: direct link, hf CLI and curl.
- Browser
- Download file 23.1 MB
-
https://huggingface.co/ZhanQU/few_shot_test/resolve/main/tokenizer.json
- Command line
-
hf download hf://ZhanQU/few_shot_test/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ZhanQU/few_shot_test/resolve/main/tokenizer.json
23.1 MB
- Xet hash:
- 81f73c9250f634b4377567270d056cdf3f6120f9fbdaabdea444161a7e24c794
- Size of remote file:
- 23.1 MB
- SHA256:
- 1aefcd8afb7a70241a09a23436f6f34610e6df0cb951e9fa225021b451fa059f
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