Instructions to use gbemilekeonilude/llama_2_7b_s_0.2_q_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gbemilekeonilude/llama_2_7b_s_0.2_q_9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="gbemilekeonilude/llama_2_7b_s_0.2_q_9")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gbemilekeonilude/llama_2_7b_s_0.2_q_9") model = AutoModel.from_pretrained("gbemilekeonilude/llama_2_7b_s_0.2_q_9") - Notebooks
- Google Colab
- Kaggle