Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
allow gated models
Browse files
src/leaderboard/read_evals.py
CHANGED
@@ -7,6 +7,7 @@ from dataclasses import dataclass
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import dateutil
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import numpy as np
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from src.display.formatting import make_clickable_model
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from src.display.utils import AutoEvalColumn, ModelType, Tasks, Precision, WeightType
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from src.submission.check_validity import is_model_on_hub
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@@ -56,7 +57,7 @@ class EvalResult:
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full_model = "/".join(org_and_model)
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still_on_hub, _, model_config = is_model_on_hub(
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full_model, config.get("model_sha", "main"), trust_remote_code=True, test_tokenizer=False
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)
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architecture = "?"
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if model_config is not None:
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import dateutil
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import numpy as np
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from src.envs import TOKEN
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from src.display.formatting import make_clickable_model
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from src.display.utils import AutoEvalColumn, ModelType, Tasks, Precision, WeightType
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from src.submission.check_validity import is_model_on_hub
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full_model = "/".join(org_and_model)
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still_on_hub, _, model_config = is_model_on_hub(
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full_model, config.get("model_sha", "main"), TOKEN, trust_remote_code=True, test_tokenizer=False
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)
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architecture = "?"
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if model_config is not None:
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src/submission/submit.py
CHANGED
@@ -50,7 +50,7 @@ def add_new_eval(
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return styled_error(f'Base model "{base_model}" {error}')
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if not weight_type == "Adapter":
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model_on_hub, error, _ = is_model_on_hub(model_name=model, revision=revision, test_tokenizer=True)
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if not model_on_hub:
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return styled_error(f'Model "{model}" {error}')
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return styled_error(f'Base model "{base_model}" {error}')
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if not weight_type == "Adapter":
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model_on_hub, error, _ = is_model_on_hub(model_name=model, revision=revision, token=TOKEN, test_tokenizer=True)
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if not model_on_hub:
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return styled_error(f'Model "{model}" {error}')
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