Instructions to use rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856/resolve/main/training_args.bin
- Command line
-
hf download hf://rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- f5d92cb2fab76e45d2deab29ea86a13e37bdf2b5313e7fb3fc5e302651a1b56e
- Size of remote file:
- 6.78 kB
- SHA256:
- cb38410a68d57c2923f0eaa97e2655d220eb8fe5de24577961479a384a8a74b8
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