Instructions to use eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a/resolve/83379e0b364e2ad9edcc52889410a4039f3c26de/last-checkpoint/tokenizer.json
- Command line
-
hf download hf://eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a@83379e0b364e2ad9edcc52889410a4039f3c26de/last-checkpoint/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/eeeebbb2/e411d406-638a-4e0d-a142-097a5ec2402a/resolve/83379e0b364e2ad9edcc52889410a4039f3c26de/last-checkpoint/tokenizer.json
17.2 MB
- Xet hash:
- d1764001543899106a3168f0d55a6a527fadce55b617f89242903ae4ace0ef8d
- Size of remote file:
- 17.2 MB
- SHA256:
- 3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.