Text Generation
PEFT
Safetensors
figure-table-interpretation
p4
repository-library
research-library
t3_pdf
text2text-generation
Instructions to use PeytonT/figure-table-interpretation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PeytonT/figure-table-interpretation 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/figure-table-interpretation") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PeytonT/figure-table-interpretation: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/PeytonT/figure-table-interpretation/resolve/main/training_args.bin
- Command line
-
hf download hf://PeytonT/figure-table-interpretation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PeytonT/figure-table-interpretation/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 131a8c40140d3f9f9215728c6159f703b4f490b0be8c4ab1768fbd75dc7d3582
- Size of remote file:
- 5.84 kB
- SHA256:
- fda89f5d5ab12013aca9a8256edb67cf3a6670ba5b1401f7dc0427d8ef381038
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.