Text Classification
Transformers
Safetensors
qwen3
text-generation
decision-model
typed-output
classification
clef
systemone
distillation
fluidinference
text-embeddings-inference
Instructions to use FluidInference/clef-text-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FluidInference/clef-text-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FluidInference/clef-text-0.6b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FluidInference/clef-text-0.6b") model = AutoModelForCausalLM.from_pretrained("FluidInference/clef-text-0.6b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 693 Bytes
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