Instructions to use facebook/bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/bart-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/bart-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large") model = AutoModel.from_pretrained("facebook/bart-large") - Inference
- Notebooks
- Google Colab
- Kaggle
[AUTOMATED] Model Memory Requirements
#8 opened about 2 years ago
by
model-sizer-bot
About filling multi-token masks.
2
#7 opened over 2 years ago
by
luoxlong
Upload 2 files
1
#6 opened almost 3 years ago
by
Rezz90
Adding ONNX file of this model
❤️ 2
1
#5 opened about 3 years ago
by
asifanchor
Adding `safetensors` variant of this model
#4 opened about 3 years ago
by
SFconvertbot
Hosted Inference API
#2 opened over 3 years ago
by
jdsouza