Instructions to use LDY/Question-Answering-Ican with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LDY/Question-Answering-Ican with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="LDY/Question-Answering-Ican")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("LDY/Question-Answering-Ican") model = AutoModelForQuestionAnswering.from_pretrained("LDY/Question-Answering-Ican", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c84312e34ce66f4a14948f956c48581a476ecb3d500012c51e32ca866683d855
- Size of remote file:
- 407 MB
- SHA256:
- 1e1019cce9ac5a0f7a0070dc6b27740aff968782a9b22e971cd2ab8fef7238ac
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