Instructions to use DrakuTheDragon/Test_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DrakuTheDragon/Test_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DrakuTheDragon/Test_2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("DrakuTheDragon/Test_2") model = AutoModelForQuestionAnswering.from_pretrained("DrakuTheDragon/Test_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b93d6cda654bd29cf74e90f18d4e3e0c77104f66910b3da0a56d0672d3ccb3f5
- Size of remote file:
- 510 MB
- SHA256:
- d384e6cc33a6e7eaca9429a9f2954ba8f771a0cef79539d68bd395b577dafd2b
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.