Instructions to use BoghdadyJR/t5-base-2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BoghdadyJR/t5-base-2-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("cssupport/t5-small-awesome-text-to-sql") model = PeftModel.from_pretrained(base_model, "BoghdadyJR/t5-base-2-lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BoghdadyJR/t5-base-2-lora: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/BoghdadyJR/t5-base-2-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://BoghdadyJR/t5-base-2-lora/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/BoghdadyJR/t5-base-2-lora/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.