Question Answering
Transformers
Safetensors
Russian
t5
text2text-generation
T5
russian
text-generation
text-generation-inference
Instructions to use r1char9/ruT5_q_a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use r1char9/ruT5_q_a with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="r1char9/ruT5_q_a")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("r1char9/ruT5_q_a") model = AutoModelForSeq2SeqLM.from_pretrained("r1char9/ruT5_q_a") - Notebooks
- Google Colab
- Kaggle
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