Text Classification
Transformers
Safetensors
qwen3
Generated from Trainer
reward-trainer
trl
text-embeddings-inference
Instructions to use LeonhardP/qwen3-0.6b-RM-hs2-validation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeonhardP/qwen3-0.6b-RM-hs2-validation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LeonhardP/qwen3-0.6b-RM-hs2-validation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LeonhardP/qwen3-0.6b-RM-hs2-validation") model = AutoModelForSequenceClassification.from_pretrained("LeonhardP/qwen3-0.6b-RM-hs2-validation") - Notebooks
- Google Colab
- Kaggle
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