Transformers
PyTorch
Safetensors
t5
text2text-generation
Trinidadian Creole
Caribbean dialect
text-generation-inference
Instructions to use KES/TEC-English with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KES/TEC-English with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KES/TEC-English") model = AutoModelForSeq2SeqLM.from_pretrained("KES/TEC-English", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from KES/TEC-English: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/KES/TEC-English/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://KES/TEC-English@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/KES/TEC-English/resolve/refs%2Fpr%2F1/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.