Instructions to use aaurelions/phrase_keeper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aaurelions/phrase_keeper with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-mini-instruct") model = PeftModel.from_pretrained(base_model, "aaurelions/phrase_keeper") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-290/tokenizer.json from aaurelions/phrase_keeper: direct link, hf CLI and curl.
- Browser
- Download file 15.5 MB
-
https://huggingface.co/aaurelions/phrase_keeper/resolve/main/checkpoint-290/tokenizer.json
- Command line
-
hf download hf://aaurelions/phrase_keeper/checkpoint-290/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aaurelions/phrase_keeper/resolve/main/checkpoint-290/tokenizer.json
15.5 MB
- Xet hash:
- e7e9422f7e39ff0d3e46f2118d1243d4de7e7cc00136bf4939a8afd6736173bd
- Size of remote file:
- 15.5 MB
- SHA256:
- 0d7f47443257fe193e8dcb1e6912235832f416fd25161c021f77cb63163cd44e
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