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
File size: 349 Bytes
c6c80d9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"eos_token": "</s>",
"model_max_length": 512,
"name_or_path": "Helsinki-NLP/opus-mt-en-fr",
"pad_token": "<pad>",
"return_tensors": "tf",
"separate_vocabs": false,
"source_lang": "en",
"sp_model_kwargs": {},
"special_tokens_map_file": null,
"target_lang": "fr",
"tokenizer_class": "MarianTokenizer",
"unk_token": "<unk>"
}
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