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 generation_config.json from FluidInference/clef-text-0.6b: direct link, hf CLI and curl.
- Browser
- Download file 214 Bytes
-
https://huggingface.co/FluidInference/clef-text-0.6b/resolve/main/generation_config.json
- Command line
-
hf download hf://FluidInference/clef-text-0.6b/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/FluidInference/clef-text-0.6b/resolve/main/generation_config.json
214 Bytes
| { | |
| "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" | |
| } | |