Question Answering
Transformers
TensorBoard
Safetensors
Swahili
English
mt5
text2text-generation
swahili
seq2seq
abstractive-qa
low-resource
curriculum-learning
context-scaffolding
Eval Results (legacy)
Instructions to use kikwaib/mt5-base-kenswquad-abstractive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kikwaib/mt5-base-kenswquad-abstractive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="kikwaib/mt5-base-kenswquad-abstractive")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kikwaib/mt5-base-kenswquad-abstractive") model = AutoModelForSeq2SeqLM.from_pretrained("kikwaib/mt5-base-kenswquad-abstractive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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