Instructions to use gaeunseo/finetuned_model_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaeunseo/finetuned_model_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="gaeunseo/finetuned_model_small")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("gaeunseo/finetuned_model_small") model = AutoModelForQuestionAnswering.from_pretrained("gaeunseo/finetuned_model_small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6be07dfdf68da3522ea264addda8201b3e1326595b63fe637bcd223859bd16e5
- Size of remote file:
- 1.34 GB
- SHA256:
- 139af4ad64b56366cf0d323846e60848ddf3e9fc3efbed51fb76dedf7394f0b2
路
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