Text Generation
PEFT
Safetensors
p0
pdf-tokenization
repository-library
research-library
t3_pdf
text2text-generation
Instructions to use PeytonT/pdf-tokenization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PeytonT/pdf-tokenization with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") model = PeftModel.from_pretrained(base_model, "PeytonT/pdf-tokenization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3989da650d67083d77bd1bdede5fb31c5a6f0dcb34fbbe468419a79b5fc9d1f7
- Size of remote file:
- 5.84 kB
- SHA256:
- 5f896e2ffd728e58b16e317648e99b83e6bcac5add124d504d1e7fa1d21aeef6
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