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PEFT
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Instructions to use fnruha0921/VibeThinker-3B-Fable5-UI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fnruha0921/VibeThinker-3B-Fable5-UI with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/app/previous_checkpoint") model = PeftModel.from_pretrained(base_model, "fnruha0921/VibeThinker-3B-Fable5-UI") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fnruha0921/VibeThinker-3B-Fable5-UI: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/fnruha0921/VibeThinker-3B-Fable5-UI/resolve/main/tokenizer.json
- Command line
-
hf download hf://fnruha0921/VibeThinker-3B-Fable5-UI/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fnruha0921/VibeThinker-3B-Fable5-UI/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- ffbbad86547acf031531ec53039514b34bfab939d40f72fe44cbcf30af757c60
- Size of remote file:
- 11.4 MB
- SHA256:
- 296e081e2f5ecf9d87814aa9b0f4b12d670ed2b2e2be6c84e01a9466c953afb7
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