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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28cc7c0fadacb9dcf4f5d0861432d729ec7cc57f8d72ea2f312f964a75d1fad5
- Size of remote file:
- 2.74 kB
- SHA256:
- 698f855ec978179dd89c1d6af7ef12a4c17c2d6f13bef6441e15bfcf5b8ead8d
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