Instructions to use oguzhanolm/loodos-bert-base-uncased-QA-fine-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oguzhanolm/loodos-bert-base-uncased-QA-fine-tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="oguzhanolm/loodos-bert-base-uncased-QA-fine-tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("oguzhanolm/loodos-bert-base-uncased-QA-fine-tuned") model = AutoModelForQuestionAnswering.from_pretrained("oguzhanolm/loodos-bert-base-uncased-QA-fine-tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38da7c7763f5bb49a17bc50250d5cc58f0296882e090c1b459d44838f8ab41e1
- Size of remote file:
- 440 MB
- SHA256:
- 81ae7cf32e03828a91e9c66c4fcef42a71caa86d5dedba81dae171c35f401e9a
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