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 vocab.json from shed-e/Translation: direct link, hf CLI and curl.
- Browser
- Download file 1.46 MB
-
https://huggingface.co/shed-e/Translation/resolve/main/vocab.json
- Command line
-
hf download hf://shed-e/Translation/vocab.json
-
curl -L -o vocab.json https://huggingface.co/shed-e/Translation/resolve/main/vocab.json
1.46 MB
File too large to display, you can check the raw version instead.