Instructions to use batman555/layer_1_classifier_google with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use batman555/layer_1_classifier_google with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="batman555/layer_1_classifier_google")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("batman555/layer_1_classifier_google") model = AutoModelForSequenceClassification.from_pretrained("batman555/layer_1_classifier_google") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9957e7203c1ef9b3e3ff4d400678665cc1a68c1752259a0b95b933b8e9a48404
- Size of remote file:
- 4.09 kB
- SHA256:
- 9440067b19678b3996e93569056cb541612614a2de8750635b31c039713e7dad
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