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 training_args.bin from shed-e/Translation: direct link, hf CLI and curl.
- Browser
- Download file 3.5 kB
-
https://huggingface.co/shed-e/Translation/resolve/main/training_args.bin
- Command line
-
hf download hf://shed-e/Translation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shed-e/Translation/resolve/main/training_args.bin
3.5 kB
- Xet hash:
- d73a4069a03db63b2aa960c8d463e13ead47ab4a369a1f28369b2052a1d86bd5
- Size of remote file:
- 3.5 kB
- SHA256:
- 0e8dcc08f9f5c5ad129eaa708cd035c2719a6ab7a52b9553c7e774fb45bc790f
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