Instructions to use amztheory/falcon-7b-code-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amztheory/falcon-7b-code-python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct") model = PeftModel.from_pretrained(base_model, "amztheory/falcon-7b-code-python") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from amztheory/falcon-7b-code-python: direct link, hf CLI and curl.
- Browser
- Download file 37.8 MB
-
https://huggingface.co/amztheory/falcon-7b-code-python/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://amztheory/falcon-7b-code-python/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/amztheory/falcon-7b-code-python/resolve/main/adapter_model.safetensors
37.8 MB
- Xet hash:
- 93995f4b96b5e24432d545d364a86f03fc1160d9b2b0c2a05943d3392b746b14
- Size of remote file:
- 37.8 MB
- SHA256:
- 883bac4f0d3f6db65c50e6cf5ebdaac82e826046849b7d4993cf99bb0d89ec96
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