Instructions to use pedropei/question-intimacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pedropei/question-intimacy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pedropei/question-intimacy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pedropei/question-intimacy") model = AutoModelForSequenceClassification.from_pretrained("pedropei/question-intimacy") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a0a05d322eb6fc6c6b6bb4c1873f66b6982ec8fa0fa44a5ecb84c17cd303b94
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size 501039387
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