Text Classification
Transformers
Safetensors
English
mistral3
feature-extraction
decision-model
candidate-scoring
ranking
ministral
custom_code
4-bit precision
bitsandbytes
Instructions to use Aurley/ADM-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aurley/ADM-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aurley/ADM-1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Aurley/ADM-1", trust_remote_code=True) model = AutoModel.from_pretrained("Aurley/ADM-1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Aurley/ADM-1: direct link, hf CLI and curl.
- Browser
- Download file 138 Bytes
-
https://huggingface.co/Aurley/ADM-1/resolve/main/generation_config.json
- Command line
-
hf download hf://Aurley/ADM-1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Aurley/ADM-1/resolve/main/generation_config.json
138 Bytes
| { | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "max_length": 262144, | |
| "pad_token_id": 11, | |
| "transformers_version": "5.0.0.dev0" | |
| } | |