Instructions to use Setpember/bert-small_lora_r32_epsilon5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Setpember/bert-small_lora_r32_epsilon5 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("prajjwal1/bert-small") model = PeftModel.from_pretrained(base_model, "Setpember/bert-small_lora_r32_epsilon5") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Setpember/bert-small_lora_r32_epsilon5: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/Setpember/bert-small_lora_r32_epsilon5/resolve/main/tokenizer.json
- Command line
-
hf download hf://Setpember/bert-small_lora_r32_epsilon5/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Setpember/bert-small_lora_r32_epsilon5/resolve/main/tokenizer.json
711 kB
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