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:
- e2f25cc691171e9c3d894cafdbb9f15ad43f24b608d47a3a09d7a5533f6443f9
- Size of remote file:
- 4.79 kB
- SHA256:
- 6b18c4d3e38493cfa685ef07cffd2a926b11b29f521eb55401590d3a3427fd5e
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