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 adapter_model.bin from rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856: direct link, hf CLI and curl.
- Browser
- Download file 382 MB
-
https://huggingface.co/rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856/resolve/main/adapter_model.bin
- Command line
-
hf download hf://rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/rayonlabs/starcoder2-3b-python_code_instructions_18k_alpaca-3596ac75-01d7-4fdc-bd41-e88e6854c856/resolve/main/adapter_model.bin
382 MB
- Xet hash:
- 3d346d8af9607b78848c7ce6166d5881ce8fe87fc8e40d1292e248ce90df04bf
- Size of remote file:
- 382 MB
- SHA256:
- 50895c2358aa2a9d5ff718130bd6e68fbaa2d3b5bec770e8c2056a6b3ac37ef6
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