Translation
Transformers
PyTorch
Polish
t5
text2text-generation
T5
summarization
question answering
reading comprehension
text-generation-inference
Instructions to use allegro/plt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allegro/plt5-large 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="allegro/plt5-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allegro/plt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("allegro/plt5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f97d88dc99386dc73a51538342f846cf2d88d5419c3e9bee8a08bce0055b6f73
- Size of remote file:
- 3.28 GB
- SHA256:
- 92911fb634867f1a9f000c8cedbf1909ace1f4596943cc3773c5b70ff84292c5
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