Instructions to use quangtqv/cross_encoder_tool_learning_backbone_beta_26_5_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use quangtqv/cross_encoder_tool_learning_backbone_beta_26_5_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="quangtqv/cross_encoder_tool_learning_backbone_beta_26_5_v3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("quangtqv/cross_encoder_tool_learning_backbone_beta_26_5_v3") model = AutoModelForSequenceClassification.from_pretrained("quangtqv/cross_encoder_tool_learning_backbone_beta_26_5_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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