Instructions to use emaeon/Complete-ict-9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emaeon/Complete-ict-9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emaeon/Complete-ict-9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emaeon/Complete-ict-9") model = AutoModelForSequenceClassification.from_pretrained("emaeon/Complete-ict-9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdf27c1d2e89a73f7c0c878be73d4ff092ddeedbce42da114eafdc99f7863f0c
- Size of remote file:
- 1.35 GB
- SHA256:
- f6287ab93f8d0cdc07d3109e0fb870bc6d0f495e268145353c12f7999005f428
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