Instructions to use Neopix/python-llama-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neopix/python-llama-bf16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Neopix/python-llama-bf16")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Neopix/python-llama-bf16") model = AutoModel.from_pretrained("Neopix/python-llama-bf16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c683a0f2a65d5606e569a0c8432ead6a5643d44171496a51cad94f48c4da94ff
- Size of remote file:
- 2.47 GB
- SHA256:
- 9bf185add665a94293dd161bf81b5e01a982f87eebef388182ecd6e62e2261e1
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