Translation
Transformers
PyTorch
French
t5
text2text-generation
commonvoice
pictograms
text-generation-inference
Instructions to use Propicto/t2p-t5-large-commonvoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Propicto/t2p-t5-large-commonvoice 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="Propicto/t2p-t5-large-commonvoice")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Propicto/t2p-t5-large-commonvoice") model = AutoModelForSeq2SeqLM.from_pretrained("Propicto/t2p-t5-large-commonvoice") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot