Translation
Transformers
Safetensors
Divehi
English
mt5
text2text-generation
dhivehi
thaana
maldives
Instructions to use Neobe/en-dhivehi-mt5-large-sentence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neobe/en-dhivehi-mt5-large-sentence 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="Neobe/en-dhivehi-mt5-large-sentence")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Neobe/en-dhivehi-mt5-large-sentence") model = AutoModelForSeq2SeqLM.from_pretrained("Neobe/en-dhivehi-mt5-large-sentence", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d1941d96146cb587aaf941532f52e5c33ebd2bf94ad2f89669d4f22eafd2eda
- Size of remote file:
- 16.3 MB
- SHA256:
- 0eb6a8732e244301f06c6070b112655af0fab810c77b8ca0232c7e4aeb192c02
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