Instructions to use jhj1769/stsb-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jhj1769/stsb-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "jhj1769/stsb-lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jhj1769/stsb-lora: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/jhj1769/stsb-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://jhj1769/stsb-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jhj1769/stsb-lora/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 1b625b225a887c08948e6d8bfff5351df7a824d7293c899695f4903242f29c92
- Size of remote file:
- 17.2 MB
- SHA256:
- e9d7cacaa40afe2956f08737f84e63925c473cf6675d90dfc8caeae75768f9b7
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