Instructions to use cogniai-dev/classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cogniai-dev/classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cogniai-dev/classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cogniai-dev/classifier") model = AutoModelForSequenceClassification.from_pretrained("cogniai-dev/classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66577c784efaae65cd87e4be0f67668184eef7d96a8ab52848ae89b76bfc356f
- Size of remote file:
- 268 MB
- SHA256:
- 61afb985df6fbe77fd84138129481f0a4444c02893782984e330f874f43cee4b
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