Instructions to use kuanhuggingface/bart-large-unit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kuanhuggingface/bart-large-unit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kuanhuggingface/bart-large-unit")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kuanhuggingface/bart-large-unit") model = AutoModel.from_pretrained("kuanhuggingface/bart-large-unit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kuanhuggingface/bart-large-unit: direct link, hf CLI and curl.
- Browser
- Download file 3.82 MB
-
https://huggingface.co/kuanhuggingface/bart-large-unit/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://kuanhuggingface/bart-large-unit@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kuanhuggingface/bart-large-unit/resolve/refs%2Fpr%2F1/tokenizer.json
3.82 MB
File too large to display, you can check the raw version instead.