Instructions to use sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb/resolve/main/tokenizer.json
- Command line
-
hf download hf://sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 62f2b3f78a2d97ddcf9e0c11e96678df15ed4d2a34e34a0cb35d01652359be83
- Size of remote file:
- 11.4 MB
- SHA256:
- 9479047c22047670077878de944c696032b1a81049beeb6e99fbda7fb93e395a
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