Instructions to use research-backup/mbart-large-cc25-trimmed-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/mbart-large-cc25-trimmed-it with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("research-backup/mbart-large-cc25-trimmed-it") model = AutoModelForSeq2SeqLM.from_pretrained("research-backup/mbart-large-cc25-trimmed-it") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Vocabulary Trimmed facebook/mbart-large-cc25: asahi417/mbart-large-cc25-trimmed-it
This model is a trimmed version of facebook/mbart-large-cc25 by vocabtrimmer, a tool for trimming vocabulary of language models to compress the model size.
Following table shows a summary of the trimming process.
| facebook/mbart-large-cc25 | asahi417/mbart-large-cc25-trimmed-it | |
|---|---|---|
| parameter_size_full | 610,851,840 | 476,043,264 |
| parameter_size_embedding | 512,055,296 | 242,438,144 |
| vocab_size | 250,027 | 118,378 |
| compression_rate_full | 100.0 | 77.93 |
| compression_rate_embedding | 100.0 | 47.35 |
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