Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
decision-model
classification
calibration
routing
guardrails
baseten
Instructions to use baselabs/mammoth-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baselabs/mammoth-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baselabs/mammoth-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("baselabs/mammoth-1") model = AutoModelForMultimodalLM.from_pretrained("baselabs/mammoth-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download readout.json from baselabs/mammoth-1: direct link, hf CLI and curl.
- Browser
- Download file 63 Bytes
-
https://huggingface.co/baselabs/mammoth-1/resolve/main/readout.json
- Command line
-
hf download hf://baselabs/mammoth-1/readout.json
-
curl -L -o readout.json https://huggingface.co/baselabs/mammoth-1/resolve/main/readout.json
63 Bytes
| { | |
| "readout": "slot_lm", | |
| "head_dim": 256, | |
| "n_slots": 256 | |
| } |