Instructions to use luckjsg/fbc9aeb3-7113-4701-9ac2-fa460b20cfcb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use luckjsg/fbc9aeb3-7113-4701-9ac2-fa460b20cfcb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "luckjsg/fbc9aeb3-7113-4701-9ac2-fa460b20cfcb") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from luckjsg/fbc9aeb3-7113-4701-9ac2-fa460b20cfcb: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/luckjsg/fbc9aeb3-7113-4701-9ac2-fa460b20cfcb/resolve/08a7c8e66fa8124b5afaabfe9f7e5622f15b0018/tokenizer.json
- Command line
-
hf download hf://luckjsg/fbc9aeb3-7113-4701-9ac2-fa460b20cfcb@08a7c8e66fa8124b5afaabfe9f7e5622f15b0018/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/luckjsg/fbc9aeb3-7113-4701-9ac2-fa460b20cfcb/resolve/08a7c8e66fa8124b5afaabfe9f7e5622f15b0018/tokenizer.json
17.2 MB
- Xet hash:
- f01428ab5927d54cc48f439b329b376ce2cb9c9317578ed37a668dc9feff9860
- Size of remote file:
- 17.2 MB
- SHA256:
- 18656043d3999331a98e43a10816aeee61f32f08d040685e527032cee016a1aa
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