Instructions to use error577/eec7725a-1c4c-4bdb-97aa-2a1445af5090 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/eec7725a-1c4c-4bdb-97aa-2a1445af5090 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-mamba-7b") model = PeftModel.from_pretrained(base_model, "error577/eec7725a-1c4c-4bdb-97aa-2a1445af5090") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from error577/eec7725a-1c4c-4bdb-97aa-2a1445af5090: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/error577/eec7725a-1c4c-4bdb-97aa-2a1445af5090/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://error577/eec7725a-1c4c-4bdb-97aa-2a1445af5090/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/eec7725a-1c4c-4bdb-97aa-2a1445af5090/resolve/main/adapter_model.safetensors
102 MB
- Xet hash:
- 96ffb5d8051ea2864a95a6bf5ccabe5c573ddc1fa7b55315f27aece7cea808d6
- Size of remote file:
- 102 MB
- SHA256:
- d5851881e25c2bf30344bf6aaef281bbba95b974ea0838b829e234fd131c5798
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