Instructions to use Davlan/mt5-small-pcm-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/mt5-small-pcm-en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/mt5-small-pcm-en") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/mt5-small-pcm-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 166bbe812646eaa2db05df24639c9e4b0251ab0f5d444a78ab9ae5413e8df7a7
- Size of remote file:
- 1.2 GB
- SHA256:
- 1ed8c42fb7c6cb8eea621453d743e359a2a2c2f6615896380cad1d7f7216fd3b
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