Instructions to use emaeon/Complete-ict-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emaeon/Complete-ict-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emaeon/Complete-ict-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emaeon/Complete-ict-2") model = AutoModelForSequenceClassification.from_pretrained("emaeon/Complete-ict-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35c6070e64412871acc2b63abd7e9e026ec077fbcfd8d65a105745c620d336d8
- Size of remote file:
- 1.35 GB
- SHA256:
- 54ce4213cd6e05c50317da9ccfbf5cae169e024f10b4539aca5c3e420799d8c4
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