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
- Xet hash:
- efe39c7df40f7330b4bf225d11c7e9b7b8efaddacb727ee15603b94300cd3985
- Size of remote file:
- 32.2 MB
- SHA256:
- 5d84efaa7efd10a17dd1d85d92456585541d6e6c9ef37eb78b8eb753442905f5
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