Translation
Transformers
Safetensors
English
Nigerian Pidgin
t5
text2text-generation
nigerian-pidgin
machine-translation
glossary-augmented
text-generation-inference
Instructions to use coderGit/eng-pidginedu-toucan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coderGit/eng-pidginedu-toucan 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="coderGit/eng-pidginedu-toucan")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("coderGit/eng-pidginedu-toucan") model = AutoModelForSeq2SeqLM.from_pretrained("coderGit/eng-pidginedu-toucan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download test_predictions.csv from coderGit/eng-pidginedu-toucan: direct link, hf CLI and curl.
- Browser
- Download file 1.25 MB
-
https://huggingface.co/coderGit/eng-pidginedu-toucan/resolve/main/test_predictions.csv
- Command line
-
hf download hf://coderGit/eng-pidginedu-toucan/test_predictions.csv
-
curl -L -o test_predictions.csv https://huggingface.co/coderGit/eng-pidginedu-toucan/resolve/main/test_predictions.csv
1.25 MB
File too large to display, you can check the raw version instead.