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
File size: 116 Bytes
4fa5da1 | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"eos_token_id": 248044,
"transformers_version": "5.17.0",
"use_cache": true
}
|