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
Download joint_head_config.json from FluidInference/clef-text-0.6b: direct link, hf CLI and curl.
- Browser
- Download file 119 Bytes
-
https://huggingface.co/FluidInference/clef-text-0.6b/resolve/main/joint_head_config.json
- Command line
-
hf download hf://FluidInference/clef-text-0.6b/joint_head_config.json
-
curl -L -o joint_head_config.json https://huggingface.co/FluidInference/clef-text-0.6b/resolve/main/joint_head_config.json
119 Bytes
| { | |
| "hidden_size": 1024, | |
| "width": 1024, | |
| "routing_layers": 2, | |
| "layers": 4, | |
| "heads": 16, | |
| "feedforward": 4096 | |
| } | |