Instructions to use NicolaiSivesind/ICL-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NicolaiSivesind/ICL-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NicolaiSivesind/ICL-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NicolaiSivesind/ICL-Classifier") model = AutoModelForSequenceClassification.from_pretrained("NicolaiSivesind/ICL-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13a02e47c98010228e120b25c6bb852a17cd1b96fb340baf306566f3be03eab0
- Size of remote file:
- 4.98 kB
- SHA256:
- 802688dde848bb24ec73ba5b6be61944f4eb3d665acc269a57afb8710abb6b87
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