Instructions to use 1-lock/c5653365-e752-4a6e-8ccc-d0e8c41760c5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/c5653365-e752-4a6e-8ccc-d0e8c41760c5 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, "1-lock/c5653365-e752-4a6e-8ccc-d0e8c41760c5") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from 1-lock/c5653365-e752-4a6e-8ccc-d0e8c41760c5: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/1-lock/c5653365-e752-4a6e-8ccc-d0e8c41760c5/resolve/main/last-checkpoint/tokenizer.json
- Command line
-
hf download hf://1-lock/c5653365-e752-4a6e-8ccc-d0e8c41760c5/last-checkpoint/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/1-lock/c5653365-e752-4a6e-8ccc-d0e8c41760c5/resolve/main/last-checkpoint/tokenizer.json
17.2 MB
- Xet hash:
- d1764001543899106a3168f0d55a6a527fadce55b617f89242903ae4ace0ef8d
- Size of remote file:
- 17.2 MB
- SHA256:
- 3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
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