Translation
Transformers
PyTorch
TensorBoard
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use shed-e/Translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shed-e/Translation 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="shed-e/Translation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shed-e/Translation") model = AutoModelForSeq2SeqLM.from_pretrained("shed-e/Translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shed-e/Translation: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/shed-e/Translation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shed-e/Translation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shed-e/Translation/resolve/main/pytorch_model.bin
299 MB
- Xet hash:
- 9dc340c0465ff25e11c1a107f5258cb0911b0e927283e3122fa5a08a30d24e04
- Size of remote file:
- 299 MB
- SHA256:
- 886db6b3643f4790cc5a7e0f99fa9c4a39925934ef9990a6123f7c4d1839ffd3
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