Instructions to use coldice42/homework6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coldice42/homework6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="coldice42/homework6")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("coldice42/homework6") model = AutoModelForQuestionAnswering.from_pretrained("coldice42/homework6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e140ae15225a13b88e61f787a9f67a6767c125c3ab98e06ae74eeb63ce6b0785
- Size of remote file:
- 4.73 kB
- SHA256:
- 4ad98521d687448154517ef4accd52ebe2d88d5a0555d2b6475b7af45fa79901
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