Instructions to use Kimty/final_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kimty/final_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Kimty/final_test")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kimty/final_test") model = AutoModelForQuestionAnswering.from_pretrained("Kimty/final_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d91fdfdf517123e087d5609b6f31731a3af8e0e5d2f9f837ce0f1f2037755f7c
- Size of remote file:
- 496 MB
- SHA256:
- b708f4a32f1eacc0e42128b712384561ea014648215f26f0c38042255c2c6080
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