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:
- d56b0f867d9876eaec6cfb7e51e8a1f67897d9b5c280fbe0b4af7283f75b3f18
- Size of remote file:
- 4.09 kB
- SHA256:
- 5c0216fe5f081098ffad20039a43e5f2ad784570b9e7bdbe8b8d157837bfe1e6
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