Instructions to use sshleifer/opus-mt-en-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/opus-mt-en-he 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="sshleifer/opus-mt-en-he")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/opus-mt-en-he") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/opus-mt-en-he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.14e1896
-
Update vocab.json
49a3040 -
Update pytorch_model.bin
50429ce -
Update source.spm
b3a15b1 -
Update README.md
56a3b46 -
Update metadata.json
ac5fe86 -
Update config.json
cd6b121 -
Update special_tokens_map.json
2994ae0 -
Update target.spm
f0e477b -
Update tokenizer_config.json
f63c8c8 -
initial commit
e423e03