Instructions to use mashey/mt5-large-dv-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mashey/mt5-large-dv-en with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="mashey/mt5-large-dv-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mashey/mt5-large-dv-en") model = AutoModelForSeq2SeqLM.from_pretrained("mashey/mt5-large-dv-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 896bcaf1c39992ac7aa9ea73e6d002d94b9d7dd5eebf65533fa6708c7b900385
- Size of remote file:
- 7.52 MB
- SHA256:
- 5a9db8afcd564f408d4e3b3f0fe943459575a39c8c8c8951f49c82f665842c70
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