Instructions to use Shredder/My_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shredder/My_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Shredder/My_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shredder/My_model") model = AutoModelForQuestionAnswering.from_pretrained("Shredder/My_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6de7332c71f434ab0caaba0f4493b392d51af0e6a99588f8b2f894f2330e0c6e
- Size of remote file:
- 436 MB
- SHA256:
- e784d6b4039732df31dca48391306dcee9b626da03bfcb3246ddeb6cf28e7b0f
路
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