Instructions to use pruhtopia/bart-toc-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pruhtopia/bart-toc-generation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pruhtopia/bart-toc-generation") model = AutoModelForSeq2SeqLM.from_pretrained("pruhtopia/bart-toc-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from pruhtopia/bart-toc-generation: direct link, hf CLI and curl.
- Browser
- Download file 542 Bytes
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https://huggingface.co/pruhtopia/bart-toc-generation/resolve/main/README.md
- Command line
-
hf download hf://pruhtopia/bart-toc-generation/README.md
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curl -L -o README.md https://huggingface.co/pruhtopia/bart-toc-generation/resolve/main/README.md
542 Bytes
metadata
tags:
- autotrain
- text2text-generation
widget:
- text: I love AutoTrain
datasets:
- pruhtopia/falcon-toc-generation
Model Trained Using AutoTrain
- Problem type: Seq2Seq
- Example usage + dataset construction notebook: here
Validation Metrics
loss: 0.20580817759037018
rouge1: 54.3657
rouge2: 43.8004
rougeL: 50.056
rougeLsum: 53.9699
gen_len: 116.6083
runtime: 450.7126
samples_per_second: 0.266
steps_per_second: 0.033
: 3.0