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: 214 Bytes
9eeb9cb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"bos_token_id": 151643,
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"temperature": 0.6,
"top_k": 20,
"top_p": 0.95,
"transformers_version": "5.17.0"
}
|