Instructions to use PSSSSA/classifierctmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSSSSA/classifierctmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PSSSSA/classifierctmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PSSSSA/classifierctmodel") model = AutoModelForSequenceClassification.from_pretrained("PSSSSA/classifierctmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 979e92fdcd977619b5d87aa59f8e50857df9a21f225761324f5bafdd6fc686c2
- Size of remote file:
- 268 MB
- SHA256:
- aebd8ff13d7adddf6c5c222e2d44d3f7706f3325d6d74f3c56ad45fe0f64d739
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