Instructions to use Davlan/mt5-small-en-pcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/mt5-small-en-pcm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/mt5-small-en-pcm") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/mt5-small-en-pcm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b829a7b4742054295453c3ffea97092d7f5576f8197c8028a32d96dfae49d2e
- Size of remote file:
- 2.74 kB
- SHA256:
- c60c05162d9a2c90df0b0936c762b536145519a2674e8cbd3998d94d2a9d286d
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