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-142/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-142/optimizer.pt
- Command line
-
hf download hf://AayushMathur/manim-codellama-7b/checkpoint-142/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/AayushMathur/manim-codellama-7b/resolve/main/checkpoint-142/optimizer.pt
161 MB
- Xet hash:
- 3656fe7178458586b3585cae26e8f9a22cd4bc1e4c39580313093021a0be38dd
- Size of remote file:
- 161 MB
- SHA256:
- 743dd7987b3f5133fc2045aaf1f17245e12ea39a49cea77fc4d6e387ebda1c0d
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