Instructions to use Helsinki-NLP/opus-mt-es-tvl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-tvl 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="Helsinki-NLP/opus-mt-es-tvl")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-tvl") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-es-tvl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddc04c3825204b910553f84bdb000756c5d601108b2f0537c7f422d469c9f1a5
- Size of remote file:
- 266 MB
- SHA256:
- a4c6c2d8c3089505f8c76e061a1c60a69838a37229fe572a98fb5e6404826bad
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