Text Classification
PEFT
Safetensors
English
multilingual
intent-classification
modernbert
lora
mmlu-pro
Instructions to use llm-semantic-router/mmbert32k-intent-classifier-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llm-semantic-router/mmbert32k-intent-classifier-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("llm-semantic-router/mmbert-32k-yarn") model = PeftModel.from_pretrained(base_model, "llm-semantic-router/mmbert32k-intent-classifier-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f3b425f2e1a61a0c5be0a7058787ce5253b13f41fa2658d710d5ddbc2a85a65
- Size of remote file:
- 5.84 kB
- SHA256:
- e6ad45c3a9791623d8aa8e5e5e4a4ce6eb6585cd5dbfe87652080f9c36ae1af6
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