Instructions to use booltbb/my_classfier_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use booltbb/my_classfier_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="booltbb/my_classfier_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("booltbb/my_classfier_model") model = AutoModelForSequenceClassification.from_pretrained("booltbb/my_classfier_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 376b2aca38e30b3646b12706c82936a10aeb1914baa396a6b3480861961ce3ca
- Size of remote file:
- 3.58 kB
- SHA256:
- 6e9af2e46125bd9c3a48c97aa58bd2b05c92f385862c8f5205fe0cf20ee60188
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