Hugging Face's logo

mart9992
/
winnie22

Inference Endpoints
Model card Files Community
winnie22
File size: 4,281 Bytes 
06ba6ce
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
 
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ..utils import _LazyModule


_import_structure = {
    "bitsandbytes": [
        "get_keys_to_not_convert",
        "replace_8bit_linear",
        "replace_with_bnb_linear",
        "set_module_8bit_tensor_to_device",
        "set_module_quantized_tensor_to_device",
    ],
    "deepspeed": [
        "HfDeepSpeedConfig",
        "HfTrainerDeepSpeedConfig",
        "deepspeed_config",
        "deepspeed_init",
        "deepspeed_load_checkpoint",
        "deepspeed_optim_sched",
        "is_deepspeed_available",
        "is_deepspeed_zero3_enabled",
        "set_hf_deepspeed_config",
        "unset_hf_deepspeed_config",
    ],
    "integration_utils": [
        "INTEGRATION_TO_CALLBACK",
        "AzureMLCallback",
        "ClearMLCallback",
        "CodeCarbonCallback",
        "CometCallback",
        "DagsHubCallback",
        "FlyteCallback",
        "MLflowCallback",
        "NeptuneCallback",
        "NeptuneMissingConfiguration",
        "TensorBoardCallback",
        "WandbCallback",
        "get_available_reporting_integrations",
        "get_reporting_integration_callbacks",
        "hp_params",
        "is_azureml_available",
        "is_clearml_available",
        "is_codecarbon_available",
        "is_comet_available",
        "is_dagshub_available",
        "is_flyte_deck_standard_available",
        "is_flytekit_available",
        "is_mlflow_available",
        "is_neptune_available",
        "is_optuna_available",
        "is_ray_available",
        "is_ray_tune_available",
        "is_sigopt_available",
        "is_tensorboard_available",
        "is_wandb_available",
        "rewrite_logs",
        "run_hp_search_optuna",
        "run_hp_search_ray",
        "run_hp_search_sigopt",
        "run_hp_search_wandb",
    ],
    "peft": ["PeftAdapterMixin"],
}

if TYPE_CHECKING:
    from .bitsandbytes import (
        get_keys_to_not_convert,
        replace_8bit_linear,
        replace_with_bnb_linear,
        set_module_8bit_tensor_to_device,
        set_module_quantized_tensor_to_device,
    )
    from .deepspeed import (
        HfDeepSpeedConfig,
        HfTrainerDeepSpeedConfig,
        deepspeed_config,
        deepspeed_init,
        deepspeed_load_checkpoint,
        deepspeed_optim_sched,
        is_deepspeed_available,
        is_deepspeed_zero3_enabled,
        set_hf_deepspeed_config,
        unset_hf_deepspeed_config,
    )
    from .integration_utils import (
        INTEGRATION_TO_CALLBACK,
        AzureMLCallback,
        ClearMLCallback,
        CodeCarbonCallback,
        CometCallback,
        DagsHubCallback,
        FlyteCallback,
        MLflowCallback,
        NeptuneCallback,
        NeptuneMissingConfiguration,
        TensorBoardCallback,
        WandbCallback,
        get_available_reporting_integrations,
        get_reporting_integration_callbacks,
        hp_params,
        is_azureml_available,
        is_clearml_available,
        is_codecarbon_available,
        is_comet_available,
        is_dagshub_available,
        is_flyte_deck_standard_available,
        is_flytekit_available,
        is_mlflow_available,
        is_neptune_available,
        is_optuna_available,
        is_ray_available,
        is_ray_tune_available,
        is_sigopt_available,
        is_tensorboard_available,
        is_wandb_available,
        rewrite_logs,
        run_hp_search_optuna,
        run_hp_search_ray,
        run_hp_search_sigopt,
        run_hp_search_wandb,
    )
    from .peft import PeftAdapterMixin
else:
    import sys

    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)