Translation
Transformers
PyTorch
Safetensors
Icelandic
English
multilingual
mbart
text2text-generation
Instructions to use mideind/nmt-doc-is-en-2022-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mideind/nmt-doc-is-en-2022-10 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="mideind/nmt-doc-is-en-2022-10")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mideind/nmt-doc-is-en-2022-10") model = AutoModelForSeq2SeqLM.from_pretrained("mideind/nmt-doc-is-en-2022-10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
mBART based translation model
This model was trained to translate multiple sentences at once, compared to one sentence at a time.
It will occasionally combine sentences or add an extra sentence.
This is the same model as are provided on CLARIN: https://repository.clarin.is/repository/xmlui/handle/20.500.12537/278
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