Instructions to use pierreguillou/byt5-small-qa-squad-v1.1-portuguese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pierreguillou/byt5-small-qa-squad-v1.1-portuguese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pierreguillou/byt5-small-qa-squad-v1.1-portuguese") model = AutoModelForSeq2SeqLM.from_pretrained("pierreguillou/byt5-small-qa-squad-v1.1-portuguese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffd0a3155f7a100faf8c4d31b661627860c28a6de5f81b64f78461e8fde13c1e
- Size of remote file:
- 1.2 GB
- SHA256:
- 8ac8cfac6e0aab2b20064a64fcc2b84b6d3ea84570c1c2362e66c9eb0d2c5af5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.