Instructions to use facebook/mbart-large-cc25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mbart-large-cc25 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="facebook/mbart-large-cc25")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/mbart-large-cc25") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/mbart-large-cc25") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding ONNX file of this model
#6 opened about 2 years ago
by
optowo
Adds missing tokenizer configuration file
#5 opened about 2 years ago
by
lysandre
[AUTOMATED] Model Memory Requirements
#4 opened over 2 years ago
by
model-sizer-bot
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot