Instructions to use X-Wang/pruned-mt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use X-Wang/pruned-mt5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("X-Wang/pruned-mt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("X-Wang/pruned-mt5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75453d681e9a48001df64323b72baa7b949cf91d5bc8676eb2c60d16991cda36
- Size of remote file:
- 5.5 kB
- SHA256:
- 20bfd3716774b527cf9d0b1e4a70067bff024bda1fcd9299e5d6209d9b70a68e
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