Instructions to use bstds/id-mt5-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bstds/id-mt5-qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bstds/id-mt5-qa") model = AutoModelForSeq2SeqLM.from_pretrained("bstds/id-mt5-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (b6008e399d30a17b16399a075b172432ed2461f8) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>7b2b701
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Update config.json
f66450e -
Upload tokenizer
6cb45c4 -
Upload T5ForConditionalGeneration
829635f -
initial commit
0e6aa50