Instructions to use fractalego/fewrel-zero-shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fractalego/fewrel-zero-shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="fractalego/fewrel-zero-shot")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("fractalego/fewrel-zero-shot") model = AutoModelForQuestionAnswering.from_pretrained("fractalego/fewrel-zero-shot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e29d16a3b413b90111c70b88b9283c9f46dd1bb4789285c90a050cd40ce05d06
- Size of remote file:
- 1.34 GB
- SHA256:
- c1dc151ec0572af0e410699a57084c0ca32f0ae81765fc4ea63fa75a7f68a6b5
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