Instructions to use vadis/bart_scitldr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vadis/bart_scitldr with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vadis/bart_scitldr") model = AutoModelForSeq2SeqLM.from_pretrained("vadis/bart_scitldr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vadis/bart_scitldr: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/vadis/bart_scitldr/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://vadis/bart_scitldr@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vadis/bart_scitldr/resolve/refs%2Fpr%2F1/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.