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
- Xet hash:
- 2cd9aa72e7be464d723acb54ff3797b5ec6920123b6c847f64302c012495d994
- Size of remote file:
- 2.44 GB
- SHA256:
- 6e55bd7b105d99e6e25fafd4125cd5acb956ad2daef209b74fc4fb72113dcf84
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