Instructions to use gaeunseo/finetuned_model_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaeunseo/finetuned_model_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="gaeunseo/finetuned_model_large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("gaeunseo/finetuned_model_large") model = AutoModelForQuestionAnswering.from_pretrained("gaeunseo/finetuned_model_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28e43fa0cd74f0116208391b6867bac1e6aef3d3c8431a093327b32b32baf452
- Size of remote file:
- 1.34 GB
- SHA256:
- 795bfb75db6ee50258ecaa89c535897e4779edde0364b16e8e472b1c581de09b
路
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