Instructions to use IDQO/1c0a5965-e23b-4268-bff7-e7eea53d6d2f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDQO/1c0a5965-e23b-4268-bff7-e7eea53d6d2f with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IDQO/1c0a5965-e23b-4268-bff7-e7eea53d6d2f")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IDQO/1c0a5965-e23b-4268-bff7-e7eea53d6d2f") model = AutoModelForSequenceClassification.from_pretrained("IDQO/1c0a5965-e23b-4268-bff7-e7eea53d6d2f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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