Instructions to use rorschach-40/home-window_5000_batch_5-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rorschach-40/home-window_5000_batch_5-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rorschach-40/home-window_5000_batch_5-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rorschach-40/home-window_5000_batch_5-classification") model = AutoModelForSequenceClassification.from_pretrained("rorschach-40/home-window_5000_batch_5-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e63cc59b5fe85641e71b31de27ef6f2a37058353bfba5f91b45dfd45bff2500e
- Size of remote file:
- 4.79 kB
- SHA256:
- c3b450d0c85e2dc585a0237f7392cbc5940ba1c68bdf1e02147b53813fa950a9
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