Instructions to use Helsinki-NLP/opus-mt-he-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-he-eo 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-he-eo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-he-eo") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-he-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Helsinki-NLP/opus-mt-he-eo: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-he-eo/resolve/main/tf_model.h5
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-he-eo/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Helsinki-NLP/opus-mt-he-eo/resolve/main/tf_model.h5
195 MB
- Xet hash:
- 2aa30c28247df89a5e27e5d05887a6dc7a1134432e63df13c0817b56d35f1e06
- Size of remote file:
- 195 MB
- SHA256:
- 189a64df1d44fe356e77aa180a9fcef9fe2071eb50fa3755016e960801c16ab1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.