Instructions to use Nabhos/Gemopus-4-26B-Text-Only-16bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nabhos/Gemopus-4-26B-Text-Only-16bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Nabhos/Gemopus-4-26B-Text-Only-16bit")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Nabhos/Gemopus-4-26B-Text-Only-16bit") model = AutoModel.from_pretrained("Nabhos/Gemopus-4-26B-Text-Only-16bit") - Notebooks
- Google Colab
- Kaggle
File size: 218,921 Bytes
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"architectures": [
"Gemma4TextModel"
],
"attention_bias": false,
"attention_dropout": 0.0,
"attention_k_eq_v": true,
"bos_token_id": 2,
"dtype": "bfloat16",
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