Instructions to use ZhanQU/conversion_overfit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZhanQU/conversion_overfit 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/conversion_overfit") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ZhanQU/conversion_overfit: direct link, hf CLI and curl.
- Browser
- Download file 23.1 MB
-
https://huggingface.co/ZhanQU/conversion_overfit/resolve/main/tokenizer.json
- Command line
-
hf download hf://ZhanQU/conversion_overfit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ZhanQU/conversion_overfit/resolve/main/tokenizer.json
23.1 MB
- Xet hash:
- 4d6eca0fc85b7e9582ac51f8be3df451900dc76b9824ef32dfd12cd3a5cf6b0a
- Size of remote file:
- 23.1 MB
- SHA256:
- 897cd19872b451b845f02b1534ea08b1f4a1ae6de7c36e2bf506349586f55f4e
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