Text Classification
Transformers
Safetensors
English
mistral3
image-text-to-text
decision-model
typed-decisions
schema-head
jev
calibration
decode-free
Instructions to use StandardThinking/StandardOne-8B-SH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StandardThinking/StandardOne-8B-SH with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="StandardThinking/StandardOne-8B-SH")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("StandardThinking/StandardOne-8B-SH") model = AutoModelForMultimodalLM.from_pretrained("StandardThinking/StandardOne-8B-SH", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from StandardThinking/StandardOne-8B-SH: direct link, hf CLI and curl.
- Browser
- Download file 127 Bytes
-
https://huggingface.co/StandardThinking/StandardOne-8B-SH/resolve/main/generation_config.json
- Command line
-
hf download hf://StandardThinking/StandardOne-8B-SH/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/StandardThinking/StandardOne-8B-SH/resolve/main/generation_config.json
127 Bytes
| { | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "max_length": 262144, | |
| "pad_token_id": 11, | |
| "transformers_version": "5.12.1" | |
| } | |