Instructions to use VERSIL91/7635a799-c988-4d6b-a746-0e8b18902a86 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/7635a799-c988-4d6b-a746-0e8b18902a86 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "VERSIL91/7635a799-c988-4d6b-a746-0e8b18902a86") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from VERSIL91/7635a799-c988-4d6b-a746-0e8b18902a86: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/VERSIL91/7635a799-c988-4d6b-a746-0e8b18902a86/resolve/main/tokenizer.json
- Command line
-
hf download hf://VERSIL91/7635a799-c988-4d6b-a746-0e8b18902a86/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/VERSIL91/7635a799-c988-4d6b-a746-0e8b18902a86/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- a2251c6bff2c6c00b2fb78308145dd8b18dab1926ac9430862919148bd324ccf
- Size of remote file:
- 17.2 MB
- SHA256:
- 2539802b4016767e5475c0fa774895f4c33683f7c2ed9df643a61279e9ef1bd2
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