Instructions to use robinhad/ukrainian-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robinhad/ukrainian-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="robinhad/ukrainian-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("robinhad/ukrainian-qa") model = AutoModelForQuestionAnswering.from_pretrained("robinhad/ukrainian-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fa021f596e4a7c95a5dfc6e290f1cdc297e6e779be5a21858110003361b576d
- Size of remote file:
- 3.18 kB
- SHA256:
- 0d85c00a0cfae9edcf9e4d58debf8c3d736a3a24527f3b51cd2c677c002605a0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.