Instructions to use rose-e-wang/priorKnowledge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/priorKnowledge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/priorKnowledge")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/priorKnowledge") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/priorKnowledge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54ae854d739c866b3f36be31ea951b1b364ea1760f34ed9f8fba111c61f5d325
- Size of remote file:
- 1.42 GB
- SHA256:
- 152d1b359555eb31ccd053bcf94589bb2b5d9c24bf8edcfdf68a705ef14deecf
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