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Fix issue where you cannot call PeftModel.from_pretrained with a private adapter #1076

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merged 4 commits into from
Nov 28, 2023
Merged

Fix issue where you cannot call PeftModel.from_pretrained with a private adapter #1076

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d6a1776
same fix new remote
Nov 22, 2023
68d1bfb
remove use auth token dep
Nov 27, 2023
26668bf
make style
Nov 28, 2023
dd8ba6e
token = token
Nov 28, 2023
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1 change: 1 addition & 0 deletions src/peft/peft_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -308,6 +308,7 @@ def from_pretrained(
revision=kwargs.get("revision", None),
cache_dir=kwargs.get("cache_dir", None),
use_auth_token=kwargs.get("use_auth_token", None),
token=kwargs.get("token", None),
)
].from_pretrained(model_id, **kwargs)
elif isinstance(config, PeftConfig):
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6 changes: 6 additions & 0 deletions src/peft/utils/save_and_load.py
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Expand Up @@ -193,11 +193,17 @@ def load_peft_weights(model_id: str, device: Optional[str] = None, **hf_hub_down
filename = os.path.join(path, WEIGHTS_NAME)
use_safetensors = False
else:

token = hf_hub_download_kwargs.get("token", None)
if token is None:
token = hf_hub_download_kwargs.get("use_auth_token", None)

has_remote_safetensors_file = file_exists(
repo_id=model_id,
filename=SAFETENSORS_WEIGHTS_NAME,
revision=hf_hub_download_kwargs.get("revision", None),
repo_type=hf_hub_download_kwargs.get("repo_type", None),
token=hf_hub_download_kwargs.get("token", None),
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)
use_safetensors = has_remote_safetensors_file

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