Instructions to use sn56z0/f92f7a48-1095-43e5-8f53-0f4dc97e400c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sn56z0/f92f7a48-1095-43e5-8f53-0f4dc97e400c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-7b") model = PeftModel.from_pretrained(base_model, "sn56z0/f92f7a48-1095-43e5-8f53-0f4dc97e400c") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from sn56z0/f92f7a48-1095-43e5-8f53-0f4dc97e400c: direct link, hf CLI and curl.
- Browser
- Download file 500 kB
-
https://huggingface.co/sn56z0/f92f7a48-1095-43e5-8f53-0f4dc97e400c/resolve/0369abf9b81f2598c8bc0923d43b92b64fa2a76f/tokenizer.model
- Command line
-
hf download hf://sn56z0/f92f7a48-1095-43e5-8f53-0f4dc97e400c@0369abf9b81f2598c8bc0923d43b92b64fa2a76f/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/sn56z0/f92f7a48-1095-43e5-8f53-0f4dc97e400c/resolve/0369abf9b81f2598c8bc0923d43b92b64fa2a76f/tokenizer.model
500 kB
- Xet hash:
- 91bf184ab12793d0754344f9095332759432e666320cc6c07f637af50e36db6f
- Size of remote file:
- 500 kB
- SHA256:
- 9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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