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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download target.spm from NetherQuartz/tatoeba-en-tok: direct link, hf CLI and curl.
- Browser
- Download file 1.08 MB
-
https://huggingface.co/NetherQuartz/tatoeba-en-tok/resolve/main/target.spm
- Command line
-
hf download hf://NetherQuartz/tatoeba-en-tok/target.spm
-
curl -L -o target.spm https://huggingface.co/NetherQuartz/tatoeba-en-tok/resolve/main/target.spm
1.08 MB
- Xet hash:
- fa93e74c63542dae0b7373e0e13fb7fa1c3bfcc2ed65ca80f86699ea6989799a
- Size of remote file:
- 1.08 MB
- SHA256:
- 745998e51ba5b058e38b7ac7765c25c43ed5c1c39cc92b27163b9b2e323c9d7c
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