Instructions to use AgentPublic/chatrag-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AgentPublic/chatrag-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AgentPublic/chatrag-deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AgentPublic/chatrag-deberta") model = AutoModelForSequenceClassification.from_pretrained("AgentPublic/chatrag-deberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3525fd8e71bf9c51531a416488635f3726727841667aa29e7d020fe748fcc0cd
- Size of remote file:
- 2.23 GB
- SHA256:
- 71e061024c578ca3c541cbfd93684a3b1756774a115fcd7a6c421f02afd95e5f
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