Instructions to use bettertextapp/bart_large_teaser_de_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bettertextapp/bart_large_teaser_de_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bettertextapp/bart_large_teaser_de_v2") model = AutoModelForSeq2SeqLM.from_pretrained("bettertextapp/bart_large_teaser_de_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bettertextapp/bart_large_teaser_de_v2: direct link, hf CLI and curl.
- Browser
- Download file 3.63 MB
-
https://huggingface.co/bettertextapp/bart_large_teaser_de_v2/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://bettertextapp/bart_large_teaser_de_v2@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/bettertextapp/bart_large_teaser_de_v2/resolve/refs%2Fpr%2F1/tokenizer.json
3.63 MB
File too large to display, you can check the raw version instead.