Instructions to use arbitropy/mt5-base-bcoqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arbitropy/mt5-base-bcoqa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arbitropy/mt5-base-bcoqa") model = AutoModelForSeq2SeqLM.from_pretrained("arbitropy/mt5-base-bcoqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
dce5387 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:72cb93cd4a482f70cb6021f5a3e79217c751ae52d0c45e0d66ccee4434a79c3d
size 5048
|