Instructions to use inseq/wmt20-mlqe-en-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inseq/wmt20-mlqe-en-de 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="inseq/wmt20-mlqe-en-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("inseq/wmt20-mlqe-en-de") model = AutoModelForSeq2SeqLM.from_pretrained("inseq/wmt20-mlqe-en-de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a9f27739b265850afb01b7f39955ea67795f041ef71c53522fcb391d000808d
- Size of remote file:
- 434 MB
- SHA256:
- 6ce4d9170527af29626d21f1f6db8b04caa556dc9710f5fc18c771949479e65b
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