Instructions to use Davlan/mt5_base_yor_eng_mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/mt5_base_yor_eng_mt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/mt5_base_yor_eng_mt") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/mt5_base_yor_eng_mt") - Notebooks
- Google Colab
- Kaggle
adding back model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b4979a822497b043e28f59ed760b5adc4248b003a6e9d9927dafffd98492b33
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size 2329707353
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