Translation
Transformers
Safetensors
English
Toki Pona
marian
text2text-generation
Generated from Trainer
Instructions to use NetherQuartz/tatoeba-en-tok with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NetherQuartz/tatoeba-en-tok 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="NetherQuartz/tatoeba-en-tok")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NetherQuartz/tatoeba-en-tok") model = AutoModelForSeq2SeqLM.from_pretrained("NetherQuartz/tatoeba-en-tok") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f03256c11336f3665276c5935d7e07d13aacb5e824b7586f80bbc08bd3004c29
- Size of remote file:
- 5.84 kB
- SHA256:
- 7569370907b5c5a83abbe85905c238ac92f23fc1d77bf7433ba66191318d935c
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