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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
0f941d1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:71e061024c578ca3c541cbfd93684a3b1756774a115fcd7a6c421f02afd95e5f
size 2230649850
|