Text Classification
Transformers
Safetensors
bert
llm-routing
llm-d
semantic-router
triage
text-embeddings-inference
Instructions to use cnuland/llm-d-sc-triage-gate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cnuland/llm-d-sc-triage-gate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cnuland/llm-d-sc-triage-gate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cnuland/llm-d-sc-triage-gate") model = AutoModelForSequenceClassification.from_pretrained("cnuland/llm-d-sc-triage-gate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!