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:
- edad56bed2352c952088097fe595d52344e3ecc720e826ef1fa5ef349a77044d
- Size of remote file:
- 268 MB
- SHA256:
- 4e1f095bf15f70740a2470c4c6ba8f5735a582e997b4eedf3eef45ecfccdafd7
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