Instructions to use Neopix/python-math-llama-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neopix/python-math-llama-bf16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Neopix/python-math-llama-bf16")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Neopix/python-math-llama-bf16") model = AutoModel.from_pretrained("Neopix/python-math-llama-bf16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23a79e2991b44e7a4c88640a440fad5116c0d6e6a6bbf0cfe48f5ec3a31211c3
- Size of remote file:
- 2.47 GB
- SHA256:
- 74d62d0f583c46cebba11f6d2953ea4172000cbb5c9a60bc687dcdcee196a17c
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