Instructions to use VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("The-matt/llama2_ko-7b_distinctive-snowflake-182_1060") model = PeftModel.from_pretrained(base_model, "VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf: direct link, hf CLI and curl.
- Browser
- Download file 4.8 MB
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https://huggingface.co/VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf/resolve/1bd2475d7b6df8472b18e292cc0d7b7bbefe0ed4/tokenizer.json
- Command line
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hf download hf://VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf@1bd2475d7b6df8472b18e292cc0d7b7bbefe0ed4/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/VERSIL91/4ebb1be8-98b7-4aac-9956-5ce1c110dcaf/resolve/1bd2475d7b6df8472b18e292cc0d7b7bbefe0ed4/tokenizer.json
4.8 MB
File too large to display, you can check the raw version instead.