Text Classification
Transformers
Safetensors
English
Chinese
qwen3_5_text
text-generation
system-one
jev
typed-decisions
calibrated-classification
decision-model
kiosk
Instructions to use BricksDisplay/jevling-0.8b-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BricksDisplay/jevling-0.8b-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BricksDisplay/jevling-0.8b-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BricksDisplay/jevling-0.8b-v1") model = AutoModelForCausalLM.from_pretrained("BricksDisplay/jevling-0.8b-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from BricksDisplay/jevling-0.8b-v1: direct link, hf CLI and curl.
- Browser
- Download file 116 Bytes
-
https://huggingface.co/BricksDisplay/jevling-0.8b-v1/resolve/main/generation_config.json
- Command line
-
hf download hf://BricksDisplay/jevling-0.8b-v1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/BricksDisplay/jevling-0.8b-v1/resolve/main/generation_config.json
116 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": 248044, | |
| "transformers_version": "5.17.0", | |
| "use_cache": true | |
| } | |