Translation
Transformers
PyTorch
TensorFlow
Chilean Sign Language
Spanish
marian
text2text-generation
Instructions to use Helsinki-NLP/opus-mt-csg-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-csg-es 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-csg-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-csg-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-csg-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-csg-es: direct link, hf CLI and curl.
- Browser
- Download file 203 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-csg-es/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-csg-es/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-csg-es/resolve/main/pytorch_model.bin
203 MB
- Xet hash:
- 3246dc0aa97b6f797df1df85f116d17124b1a28dfb407ee61b5776ed22425e3d
- Size of remote file:
- 203 MB
- SHA256:
- 0021da477be1debc2961cd8c02a1c77db75c235399c2ddf868a65b1a096694a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.