Instructions to use emaeon/Complete-ict-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emaeon/Complete-ict-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emaeon/Complete-ict-5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emaeon/Complete-ict-5") model = AutoModelForSequenceClassification.from_pretrained("emaeon/Complete-ict-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7714d877dbf30ad5449a925282629c637c59013b91a6279fa8a40ad67dea873
- Size of remote file:
- 1.35 GB
- SHA256:
- 81320672f6e5564f16811ddd1352a651ddf33e7a9acd4c0e997f038e01283ec7
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