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
elephant-1 Cartographics atlas: an activation atlas with base model diff
#5 opened 3 days ago
by
juiceb0xc0de
Title: vLLM FlashAttention optimization for elephant-1 — 25–28% throughput improvement
❤️ 1
#4 opened 8 days ago
by
divg07
vLLM-Compatible Quantized Models (FP8 / AWQ / GPTQ)
➕ 1
#3 opened 15 days ago
by
BuiDoan
Demo for this model on Spaces
#2 opened 21 days ago
by
multimodalart