Instructions to use SanayCo/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SanayCo/model_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SanayCo/model_output")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SanayCo/model_output") model = AutoModelForQuestionAnswering.from_pretrained("SanayCo/model_output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5d26a2bf2ce52a2e819826796ac97e978f5aac9a3032314ec7d6ed67df64935
- Size of remote file:
- 436 MB
- SHA256:
- 5dab4d2fd79b5a6126b0a2a0b640b1a967e0ba256e8154caf43a122cb7c56bc4
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