Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
decision-model
classification
calibration
routing
guardrails
vision
multimodal
baseten
Instructions to use baselabs/elephant-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baselabs/elephant-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baselabs/elephant-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("baselabs/elephant-1") model = AutoModelForMultimodalLM.from_pretrained("baselabs/elephant-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 116 Bytes
d0d2d65 | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"eos_token_id": 248044,
"transformers_version": "5.19.0",
"use_cache": true
}
|