Instructions to use AayushMathur/manim-codellama-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AayushMathur/manim-codellama-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "AayushMathur/manim-codellama-7b") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-71/optimizer.pt from AayushMathur/manim-codellama-7b: direct link, hf CLI and curl.
- Browser
- Download file 161 MB
-
https://huggingface.co/AayushMathur/manim-codellama-7b/resolve/main/checkpoint-71/optimizer.pt
- Command line
-
hf download hf://AayushMathur/manim-codellama-7b/checkpoint-71/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/AayushMathur/manim-codellama-7b/resolve/main/checkpoint-71/optimizer.pt
161 MB
- Xet hash:
- bb1e7374881b4118ac82767dc7ed669407123dcd8b2e580e6efad04ed918e5ec
- Size of remote file:
- 161 MB
- SHA256:
- f0d1b86687486c1e4b272a8cb3a72fddef402b62458e4d078b16eb9af9589eb4
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