index int64 0 0 | repo_id stringclasses 351
values | file_path stringlengths 26 186 | content stringlengths 1 990k |
|---|---|---|---|
0 | hf_public_repos/api-inference-community/docker_images/sklearn/tests/generators | hf_public_repos/api-inference-community/docker_images/sklearn/tests/generators/samples/tabularregression-linear_regression-1.0-output.json | [
139.54831330342856,
179.52030577879273,
134.04133297819817,
291.4119359771987,
123.78723656395928,
92.17357676591854,
258.2340970376254,
181.33895237832277,
90.22217861672894,
108.63143297584902
] |
0 | hf_public_repos/api-inference-community/docker_images/sklearn/tests/generators | hf_public_repos/api-inference-community/docker_images/sklearn/tests/generators/samples/iris-hist_gradient_boosting-1.0-output.json | [
1,
0,
2,
1,
1,
0,
1,
2,
1,
1
] |
0 | hf_public_repos/api-inference-community/docker_images/sklearn/tests/generators | hf_public_repos/api-inference-community/docker_images/sklearn/tests/generators/samples/tabularregression-1.0-input.json | {
"data": {
"age": [
0.0453409833354632,
0.0925639831987174,
0.063503675590561,
0.096196521649737,
0.0126481372762872,
0.00901559882526763,
-0.00914709342983014,
-0.0236772472339084,
-0.0926954778032799,
-0.0600026317441039
],
"sex": [
-0.0... |
0 | hf_public_repos/api-inference-community/docker_images/sklearn/tests/generators | hf_public_repos/api-inference-community/docker_images/sklearn/tests/generators/samples/textclassification-latest-input.json | {
"data": [
"From: krs@allegra.att.com (K. R. Subramanian)\nSubject: Companies involved with Scientific Visualization...\nReply-To: krs@allegra.att.com\nOrganization: AT&T Bell Laboratories\nLines: 10\n\nIf anyone has a list of companies doing data visualization (software\nor hardware) I would like to hear from t... |
0 | hf_public_repos/api-inference-community/docker_images/sklearn/tests/generators | hf_public_repos/api-inference-community/docker_images/sklearn/tests/generators/samples/iris-logistic_regression-1.0-output.json | [
1,
0,
2,
1,
1,
0,
1,
2,
1,
1
] |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/asteroid/Dockerfile | FROM tiangolo/uvicorn-gunicorn:python3.8
LABEL maintainer="me <me@example.com>"
# Add any system dependency here
# RUN apt-get update -y && apt-get install libXXX -y
RUN apt-get update -y && apt-get install ffmpeg -y
COPY ./requirements.txt /app
RUN pip install --no-cache-dir -r requirements.txt
COPY ./prestart.sh /a... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/asteroid/requirements.txt | starlette==0.27.0
api-inference-community==0.0.23
huggingface_hub==0.5.1
asteroid==0.4.4
|
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/asteroid/prestart.sh | python app/main.py
|
0 | hf_public_repos/api-inference-community/docker_images/asteroid | hf_public_repos/api-inference-community/docker_images/asteroid/app/main.py | import functools
import logging
import os
from typing import Dict, Type
from api_inference_community.routes import pipeline_route, status_ok
from app.pipelines import AudioSourceSeparationPipeline, AudioToAudioPipeline, Pipeline
from starlette.applications import Starlette
from starlette.middleware import Middleware
f... |
0 | hf_public_repos/api-inference-community/docker_images/asteroid/app | hf_public_repos/api-inference-community/docker_images/asteroid/app/pipelines/audio_to_audio.py | from typing import List, Tuple
import numpy as np
from app.pipelines import Pipeline
from asteroid import separate
from asteroid.models import BaseModel
class AudioToAudioPipeline(Pipeline):
def __init__(self, model_id: str):
self.model = BaseModel.from_pretrained(model_id)
self.sampling_rate = s... |
0 | hf_public_repos/api-inference-community/docker_images/asteroid/app | hf_public_repos/api-inference-community/docker_images/asteroid/app/pipelines/base.py | from abc import ABC, abstractmethod
from typing import Any
class Pipeline(ABC):
@abstractmethod
def __init__(self, model_id: str):
raise NotImplementedError("Pipelines should implement an __init__ method")
@abstractmethod
def __call__(self, inputs: Any) -> Any:
raise NotImplementedErr... |
0 | hf_public_repos/api-inference-community/docker_images/asteroid/app | hf_public_repos/api-inference-community/docker_images/asteroid/app/pipelines/audio_source_separation.py | from typing import Tuple
import numpy as np
from app.pipelines import Pipeline
from asteroid import separate
from asteroid.models import BaseModel
class AudioSourceSeparationPipeline(Pipeline):
def __init__(self, model_id: str):
self.model = BaseModel.from_pretrained(model_id)
self.sampling_rate ... |
0 | hf_public_repos/api-inference-community/docker_images/asteroid/app | hf_public_repos/api-inference-community/docker_images/asteroid/app/pipelines/__init__.py | from app.pipelines.base import Pipeline, PipelineException # isort:skip
from app.pipelines.audio_source_separation import AudioSourceSeparationPipeline
from app.pipelines.audio_to_audio import AudioToAudioPipeline
|
0 | hf_public_repos/api-inference-community/docker_images/asteroid | hf_public_repos/api-inference-community/docker_images/asteroid/tests/test_docker_build.py | import os
import subprocess
from unittest import TestCase
class cd:
"""Context manager for changing the current working directory"""
def __init__(self, newPath):
self.newPath = os.path.expanduser(newPath)
def __enter__(self):
self.savedPath = os.getcwd()
os.chdir(self.newPath)
... |
0 | hf_public_repos/api-inference-community/docker_images/asteroid | hf_public_repos/api-inference-community/docker_images/asteroid/tests/test_api.py | import os
from typing import Dict
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS, get_pipeline
# Must contain at least one example of each implemented pipeline
# Tests do not check the actual values of the model output, so small dummy
# models are recommended for faster tests.
TESTABLE_MODE... |
0 | hf_public_repos/api-inference-community/docker_images/asteroid | hf_public_repos/api-inference-community/docker_images/asteroid/tests/test_api_audio_source_separation.py | import os
from unittest import TestCase, skipIf
from api_inference_community.validation import ffmpeg_read
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"audio-source-separation" not in ALLOWED_TASKS,
"audio-source-separatio... |
0 | hf_public_repos/api-inference-community/docker_images/asteroid | hf_public_repos/api-inference-community/docker_images/asteroid/tests/test_api_audio_to_audio.py | import base64
import json
import os
from unittest import TestCase, skipIf
from api_inference_community.validation import ffmpeg_read
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"audio-to-audio" not in ALLOWED_TASKS,
"audio... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/adapter_transformers/Dockerfile | FROM tiangolo/uvicorn-gunicorn:python3.8
LABEL maintainer="me <me@example.com>"
# Add any system dependency here
# RUN apt-get update -y && apt-get install libXXX -y
COPY ./requirements.txt /app
RUN pip install --no-cache-dir -r requirements.txt
COPY ./prestart.sh /app/
# Most DL models are quite large in terms of ... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/adapter_transformers/requirements.txt | starlette==0.37.2
api-inference-community==0.0.32
torch==2.3.0
adapters==0.2.1
huggingface_hub==0.23.0
|
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/adapter_transformers/prestart.sh | python app/main.py
|
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app/batch.py | #!/usr/bin/env python
import os
from api_inference_community.batch import batch
from app.main import get_pipeline
DATASET_NAME = os.getenv("DATASET_NAME")
DATASET_CONFIG = os.getenv("DATASET_CONFIG", None)
DATASET_SPLIT = os.getenv("DATASET_SPLIT")
DATASET_COLUMN = os.getenv("DATASET_COLUMN")
USE_GPU = os.getenv("U... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app/main.py | import functools
import logging
import os
from typing import Dict, Type
from api_inference_community.routes import pipeline_route, status_ok
from app.pipelines import (
Pipeline,
QuestionAnsweringPipeline,
SummarizationPipeline,
TextClassificationPipeline,
TextGenerationPipeline,
TokenClassific... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app/pipelines/token_classification.py | from typing import Any, Dict, List
import numpy as np
from app.pipelines import Pipeline
from transformers import (
TokenClassificationPipeline as TransformersTokenClassificationPipeline,
)
class TokenClassificationPipeline(Pipeline):
def __init__(
self,
adapter_id: str,
):
self.p... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app/pipelines/summarization.py | from typing import Dict, List
from app.pipelines import Pipeline
from transformers import SummarizationPipeline as TransformersSummarizationPipeline
class SummarizationPipeline(Pipeline):
def __init__(self, adapter_id: str):
self.pipeline = self._load_pipeline_instance(
TransformersSummarizat... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app/pipelines/text_generation.py | from typing import Dict, List
from app.pipelines import Pipeline
from transformers import TextGenerationPipeline as TransformersTextGenerationPipeline
class TextGenerationPipeline(Pipeline):
def __init__(self, adapter_id: str):
self.pipeline = self._load_pipeline_instance(
TransformersTextGen... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app/pipelines/base.py | from abc import ABC, abstractmethod
from typing import Any
from adapters import AutoAdapterModel, get_adapter_info
from transformers import AutoTokenizer
from transformers.pipelines.base import logger
class Pipeline(ABC):
@abstractmethod
def __init__(self, model_id: str):
raise NotImplementedError("P... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app/pipelines/question_answering.py | from typing import Any, Dict
from app.pipelines import Pipeline
from transformers import QuestionAnsweringPipeline as TransformersQAPipeline
class QuestionAnsweringPipeline(Pipeline):
def __init__(
self,
adapter_id: str,
):
self.pipeline = self._load_pipeline_instance(TransformersQAPi... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app/pipelines/__init__.py | from app.pipelines.base import Pipeline, PipelineException # isort:skip
from app.pipelines.question_answering import QuestionAnsweringPipeline
from app.pipelines.summarization import SummarizationPipeline
from app.pipelines.text_classification import TextClassificationPipeline
from app.pipelines.text_generation impor... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app | hf_public_repos/api-inference-community/docker_images/adapter_transformers/app/pipelines/text_classification.py | from typing import Dict, List
from app.pipelines import Pipeline
from transformers import (
TextClassificationPipeline as TransformersClassificationPipeline,
)
class TextClassificationPipeline(Pipeline):
def __init__(
self,
adapter_id: str,
):
self.pipeline = self._load_pipeline_i... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers | hf_public_repos/api-inference-community/docker_images/adapter_transformers/tests/test_api_token_classification.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"token-classification" not in ALLOWED_TASKS,
"token-classification not implemented",
)
class TokenClassificationTestCa... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers | hf_public_repos/api-inference-community/docker_images/adapter_transformers/tests/test_api_text_generation.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"text-generation" not in ALLOWED_TASKS,
"text-generation not implemented",
)
class TextGenerationTestCase(TestCase):
... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers | hf_public_repos/api-inference-community/docker_images/adapter_transformers/tests/test_docker_build.py | import os
import subprocess
from unittest import TestCase
class cd:
"""Context manager for changing the current working directory"""
def __init__(self, newPath):
self.newPath = os.path.expanduser(newPath)
def __enter__(self):
self.savedPath = os.getcwd()
os.chdir(self.newPath)
... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers | hf_public_repos/api-inference-community/docker_images/adapter_transformers/tests/test_api_summarization.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"summarization" not in ALLOWED_TASKS,
"summarization not implemented",
)
class SummarizationTestCase(TestCase):
de... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers | hf_public_repos/api-inference-community/docker_images/adapter_transformers/tests/test_api.py | import os
from typing import Dict
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS, get_pipeline
# Must contain at least one example of each implemented pipeline
# Tests do not check the actual values of the model output, so small dummy
# models are recommended for faster tests.
TESTABLE_MODE... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers | hf_public_repos/api-inference-community/docker_images/adapter_transformers/tests/test_api_question_answering.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"question-answering" not in ALLOWED_TASKS,
"question-answering not implemented",
)
class QuestionAnsweringTestCase(Tes... |
0 | hf_public_repos/api-inference-community/docker_images/adapter_transformers | hf_public_repos/api-inference-community/docker_images/adapter_transformers/tests/test_api_text_classification.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"text-classification" not in ALLOWED_TASKS,
"text-classification not implemented",
)
class TextClassificationTestCase(... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/fasttext/Dockerfile | FROM tiangolo/uvicorn-gunicorn:python3.8
LABEL maintainer="me <me@example.com>"
# Add any system dependency here
# RUN apt-get update -y && apt-get install libXXX -y
COPY ./requirements.txt /app
RUN pip install --no-cache-dir -r requirements.txt
COPY ./prestart.sh /app/
# Most DL models are quite large in terms of ... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/fasttext/requirements.txt | starlette==0.27.0
api-inference-community==0.0.23
fasttext==0.9.2
huggingface_hub==0.5.1
# Dummy change.
|
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/fasttext/prestart.sh | python app/main.py
|
0 | hf_public_repos/api-inference-community/docker_images/fasttext | hf_public_repos/api-inference-community/docker_images/fasttext/app/main.py | import functools
import logging
import os
from typing import Dict, Type
from api_inference_community.routes import pipeline_route, status_ok
from app.pipelines import (
FeatureExtractionPipeline,
Pipeline,
TextClassificationPipeline,
)
from starlette.applications import Starlette
from starlette.middleware ... |
0 | hf_public_repos/api-inference-community/docker_images/fasttext/app | hf_public_repos/api-inference-community/docker_images/fasttext/app/pipelines/feature_extraction.py | from typing import List
from app.pipelines import Pipeline
class FeatureExtractionPipeline(Pipeline):
def __init__(
self,
model_id: str,
):
# IMPLEMENT_THIS
# Preload all the elements you are going to need at inference.
# For instance your model, processors, tokenizer ... |
0 | hf_public_repos/api-inference-community/docker_images/fasttext/app | hf_public_repos/api-inference-community/docker_images/fasttext/app/pipelines/base.py | from abc import ABC, abstractmethod
from typing import Any
import fasttext
from huggingface_hub import hf_hub_download
class Pipeline(ABC):
@abstractmethod
def __init__(self, model_id: str):
model_path = hf_hub_download(model_id, "model.bin", library_name="fasttext")
self.model = fasttext.loa... |
0 | hf_public_repos/api-inference-community/docker_images/fasttext/app | hf_public_repos/api-inference-community/docker_images/fasttext/app/pipelines/__init__.py | from app.pipelines.base import Pipeline, PipelineException # isort:skip
from app.pipelines.feature_extraction import FeatureExtractionPipeline
from app.pipelines.text_classification import TextClassificationPipeline
|
0 | hf_public_repos/api-inference-community/docker_images/fasttext/app | hf_public_repos/api-inference-community/docker_images/fasttext/app/pipelines/text_classification.py | from typing import Dict, List
from app.pipelines import Pipeline
from huggingface_hub import HfApi
FASTTEXT_PREFIX_LENGTH = 9 # fasttext labels are formatted like "__label__eng_Latn"
class TextClassificationPipeline(Pipeline):
def __init__(
self,
model_id: str,
):
super().__init__(... |
0 | hf_public_repos/api-inference-community/docker_images/fasttext | hf_public_repos/api-inference-community/docker_images/fasttext/tests/test_api_feature_extraction.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"feature-extraction" not in ALLOWED_TASKS,
"feature-extraction not implemented",
)
class FeatureExtractionTestCase(Tes... |
0 | hf_public_repos/api-inference-community/docker_images/fasttext | hf_public_repos/api-inference-community/docker_images/fasttext/tests/test_docker_build.py | import os
import subprocess
from unittest import TestCase
class cd:
"""Context manager for changing the current working directory"""
def __init__(self, newPath):
self.newPath = os.path.expanduser(newPath)
def __enter__(self):
self.savedPath = os.getcwd()
os.chdir(self.newPath)
... |
0 | hf_public_repos/api-inference-community/docker_images/fasttext | hf_public_repos/api-inference-community/docker_images/fasttext/tests/test_api.py | import os
from typing import Dict, List
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS, get_pipeline
# Must contain at least one example of each implemented pipeline
# Tests do not check the actual values of the model output, so small dummy
# models are recommended for faster tests.
TESTABL... |
0 | hf_public_repos/api-inference-community/docker_images/fasttext | hf_public_repos/api-inference-community/docker_images/fasttext/tests/test_api_text_classification.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from parameterized import parameterized_class
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"text-classification" not in ALLOWED_TASKS,
"text-classification not imp... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/sentence_transformers/Dockerfile | FROM tiangolo/uvicorn-gunicorn:python3.8
LABEL maintainer="Omar <omar@huggingface.co>"
# Add any system dependency here
# RUN apt-get update -y && apt-get install libXXX -y
RUN pip3 install --no-cache-dir torch==1.13.0
COPY ./requirements.txt /app
RUN pip install --no-cache-dir -r requirements.txt
COPY ./prestart.s... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/sentence_transformers/requirements.txt | starlette==0.27.0
api-inference-community==0.0.32
sentence-transformers==3.0.1
transformers==4.41.1
tokenizers==0.19.1
protobuf==3.18.3
huggingface_hub==0.23.3
sacremoses==0.0.53
# dummy.
|
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/sentence_transformers/prestart.sh | python app/main.py
|
0 | hf_public_repos/api-inference-community/docker_images/sentence_transformers | hf_public_repos/api-inference-community/docker_images/sentence_transformers/app/main.py | import functools
import logging
import os
from typing import Dict, Type
from api_inference_community.routes import pipeline_route, status_ok
from app.pipelines import (
FeatureExtractionPipeline,
Pipeline,
SentenceSimilarityPipeline,
)
from starlette.applications import Starlette
from starlette.middleware ... |
0 | hf_public_repos/api-inference-community/docker_images/sentence_transformers/app | hf_public_repos/api-inference-community/docker_images/sentence_transformers/app/pipelines/feature_extraction.py | import os
from typing import List
from app.pipelines import Pipeline
from sentence_transformers import SentenceTransformer
class FeatureExtractionPipeline(Pipeline):
def __init__(
self,
model_id: str,
):
self.model = SentenceTransformer(
model_id, use_auth_token=os.getenv(... |
0 | hf_public_repos/api-inference-community/docker_images/sentence_transformers/app | hf_public_repos/api-inference-community/docker_images/sentence_transformers/app/pipelines/base.py | from abc import ABC, abstractmethod
from typing import Any
class Pipeline(ABC):
@abstractmethod
def __init__(self, model_id: str):
raise NotImplementedError("Pipelines should implement an __init__ method")
@abstractmethod
def __call__(self, inputs: Any) -> Any:
raise NotImplementedErr... |
0 | hf_public_repos/api-inference-community/docker_images/sentence_transformers/app | hf_public_repos/api-inference-community/docker_images/sentence_transformers/app/pipelines/sentence_similarity.py | import os
from typing import Dict, List, Union
from app.pipelines import Pipeline
from sentence_transformers import SentenceTransformer, util
class SentenceSimilarityPipeline(Pipeline):
def __init__(
self,
model_id: str,
):
self.model = SentenceTransformer(
model_id, use_a... |
0 | hf_public_repos/api-inference-community/docker_images/sentence_transformers/app | hf_public_repos/api-inference-community/docker_images/sentence_transformers/app/pipelines/__init__.py | from app.pipelines.base import Pipeline, PipelineException # isort:skip
from app.pipelines.feature_extraction import FeatureExtractionPipeline
from app.pipelines.sentence_similarity import SentenceSimilarityPipeline
|
0 | hf_public_repos/api-inference-community/docker_images/sentence_transformers | hf_public_repos/api-inference-community/docker_images/sentence_transformers/tests/test_api_feature_extraction.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"feature-extraction" not in ALLOWED_TASKS,
"feature-extraction not implemented",
)
class FeatureExtractionTestCase(Tes... |
0 | hf_public_repos/api-inference-community/docker_images/sentence_transformers | hf_public_repos/api-inference-community/docker_images/sentence_transformers/tests/test_docker_build.py | import os
import subprocess
from unittest import TestCase
class cd:
"""Context manager for changing the current working directory"""
def __init__(self, newPath):
self.newPath = os.path.expanduser(newPath)
def __enter__(self):
self.savedPath = os.getcwd()
os.chdir(self.newPath)
... |
0 | hf_public_repos/api-inference-community/docker_images/sentence_transformers | hf_public_repos/api-inference-community/docker_images/sentence_transformers/tests/test_api.py | import os
from typing import Dict, List
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS, get_pipeline
# Must contain at least one example of each implemented pipeline
# Tests do not check the actual values of the model output, so small dummy
# models are recommended for faster tests.
TESTABL... |
0 | hf_public_repos/api-inference-community/docker_images/sentence_transformers | hf_public_repos/api-inference-community/docker_images/sentence_transformers/tests/test_api_sentence_similarity.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from parameterized import parameterized_class
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"feature-extraction" not in ALLOWED_TASKS,
"feature-extraction not imple... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/spacy/Dockerfile | FROM tiangolo/uvicorn-gunicorn:python3.8
LABEL maintainer="Omar Sanseviero omar@huggingface.com"
# Add any system dependency here
# RUN apt-get update -y && apt-get install libXXX -y
COPY ./requirements.txt /app
RUN pip install --no-cache-dir -r requirements.txt
COPY ./prestart.sh /app/
# Most DL models are quite l... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/spacy/requirements.txt | starlette==0.27.0
api-inference-community==0.0.23
huggingface_hub==0.5.1
requests==2.31.0
|
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/spacy/prestart.sh | python app/main.py
|
0 | hf_public_repos/api-inference-community/docker_images/spacy | hf_public_repos/api-inference-community/docker_images/spacy/app/main.py | import functools
import logging
import os
from typing import Dict, Type
from api_inference_community.routes import pipeline_route, status_ok
from app.pipelines import (
Pipeline,
SentenceSimilarityPipeline,
TextClassificationPipeline,
TokenClassificationPipeline,
)
from starlette.applications import St... |
0 | hf_public_repos/api-inference-community/docker_images/spacy/app | hf_public_repos/api-inference-community/docker_images/spacy/app/pipelines/token_classification.py | import os
import subprocess
import sys
from typing import Any, Dict, List
from app.pipelines import Pipeline
class TokenClassificationPipeline(Pipeline):
def __init__(
self,
model_id: str,
):
# At the time, only public models from spaCy are allowed in the inference API.
full_m... |
0 | hf_public_repos/api-inference-community/docker_images/spacy/app | hf_public_repos/api-inference-community/docker_images/spacy/app/pipelines/base.py | from abc import ABC, abstractmethod
from typing import Any
class Pipeline(ABC):
@abstractmethod
def __init__(self, model_id: str):
raise NotImplementedError("Pipelines should implement an __init__ method")
@abstractmethod
def __call__(self, inputs: Any) -> Any:
raise NotImplementedErr... |
0 | hf_public_repos/api-inference-community/docker_images/spacy/app | hf_public_repos/api-inference-community/docker_images/spacy/app/pipelines/sentence_similarity.py | import os
import subprocess
import sys
from typing import Dict, List, Union
from app.pipelines import Pipeline
class SentenceSimilarityPipeline(Pipeline):
def __init__(
self,
model_id: str,
):
# At the time, only public models from spaCy are allowed in the inference API.
full_... |
0 | hf_public_repos/api-inference-community/docker_images/spacy/app | hf_public_repos/api-inference-community/docker_images/spacy/app/pipelines/__init__.py | from app.pipelines.base import Pipeline, PipelineException # isort:skip
from app.pipelines.sentence_similarity import SentenceSimilarityPipeline
from app.pipelines.text_classification import TextClassificationPipeline
from app.pipelines.token_classification import TokenClassificationPipeline
|
0 | hf_public_repos/api-inference-community/docker_images/spacy/app | hf_public_repos/api-inference-community/docker_images/spacy/app/pipelines/text_classification.py | import os
import subprocess
import sys
from typing import Dict, List
from app.pipelines import Pipeline
class TextClassificationPipeline(Pipeline):
def __init__(
self,
model_id: str,
):
# At the time, only public models from spaCy are allowed in the inference API.
full_model_p... |
0 | hf_public_repos/api-inference-community/docker_images/spacy | hf_public_repos/api-inference-community/docker_images/spacy/tests/test_api_token_classification.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"token-classification" not in ALLOWED_TASKS,
"token-classification not implemented",
)
class TokenClassificationTestCa... |
0 | hf_public_repos/api-inference-community/docker_images/spacy | hf_public_repos/api-inference-community/docker_images/spacy/tests/test_docker_build.py | import os
import subprocess
from unittest import TestCase
class cd:
"""Context manager for changing the current working directory"""
def __init__(self, newPath):
self.newPath = os.path.expanduser(newPath)
def __enter__(self):
self.savedPath = os.getcwd()
os.chdir(self.newPath)
... |
0 | hf_public_repos/api-inference-community/docker_images/spacy | hf_public_repos/api-inference-community/docker_images/spacy/tests/test_api.py | import os
from typing import Dict
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS, get_pipeline
# Must contain at least one example of each implemented pipeline
# Tests do not check the actual values of the model output, so small dummy
# models are recommended for faster tests.
TESTABLE_MODE... |
0 | hf_public_repos/api-inference-community/docker_images/spacy | hf_public_repos/api-inference-community/docker_images/spacy/tests/test_api_sentence_similarity.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"sentence-similarity" not in ALLOWED_TASKS,
"sentence-similarity not implemented",
)
class SentenceSimilarityTestCase(... |
0 | hf_public_repos/api-inference-community/docker_images/spacy | hf_public_repos/api-inference-community/docker_images/spacy/tests/test_api_text_classification.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"text-classification" not in ALLOWED_TASKS,
"text-classification not implemented",
)
class TextClassificationTestCase(... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/paddlenlp/Dockerfile | FROM tiangolo/uvicorn-gunicorn:python3.8
LABEL maintainer="PaddleNLP <paddlenlp@baidu.com>"
# Add any system dependency here
# RUN apt-get update -y && apt-get install libXXX -y
COPY ./requirements.txt /app
RUN pip install --no-cache-dir -r requirements.txt
COPY ./prestart.sh /app/
# Most DL models are quite large ... |
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/paddlenlp/requirements.txt | starlette==0.27.0
api-inference-community==0.0.27
huggingface_hub>=0.10.1
paddlepaddle==2.5.0
paddlenlp>=2.5.0
#Dummy
|
0 | hf_public_repos/api-inference-community/docker_images | hf_public_repos/api-inference-community/docker_images/paddlenlp/prestart.sh | python app/main.py
|
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp | hf_public_repos/api-inference-community/docker_images/paddlenlp/app/main.py | import functools
import logging
import os
from typing import Dict, Type
from api_inference_community.routes import pipeline_route, status_ok
from app.pipelines import (
ConversationalPipeline,
FillMaskPipeline,
Pipeline,
SummarizationPipeline,
ZeroShotClassificationPipeline,
)
from starlette.applic... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp/app | hf_public_repos/api-inference-community/docker_images/paddlenlp/app/pipelines/summarization.py | from typing import Dict, List
from app.pipelines import Pipeline
from paddlenlp.taskflow import Taskflow
class SummarizationPipeline(Pipeline):
def __init__(self, model_id: str):
self.taskflow = Taskflow(
"text_summarization", task_path=model_id, from_hf_hub=True
)
def __call__(s... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp/app | hf_public_repos/api-inference-community/docker_images/paddlenlp/app/pipelines/base.py | from abc import ABC, abstractmethod
from typing import Any
class Pipeline(ABC):
@abstractmethod
def __init__(self, model_id: str):
raise NotImplementedError("Pipelines should implement an __init__ method")
@abstractmethod
def __call__(self, inputs: Any) -> Any:
raise NotImplementedErr... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp/app | hf_public_repos/api-inference-community/docker_images/paddlenlp/app/pipelines/fill_mask.py | from typing import Any, Dict, List
from app.pipelines import Pipeline
from paddlenlp.taskflow import Taskflow
class FillMaskPipeline(Pipeline):
def __init__(self, model_id: str):
self.taskflow = Taskflow("fill_mask", task_path=model_id, from_hf_hub=True)
def __call__(self, inputs: str) -> List[Dict[... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp/app | hf_public_repos/api-inference-community/docker_images/paddlenlp/app/pipelines/conversational.py | from typing import Any, Dict, List, Union
from app.pipelines import Pipeline
from paddlenlp.taskflow import Taskflow
class ConversationalPipeline(Pipeline):
def __init__(self, model_id: str):
self.pipeline = Taskflow("dialogue", task_path=model_id, from_hf_hub=True)
def __call__(self, inputs: Dict[s... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp/app | hf_public_repos/api-inference-community/docker_images/paddlenlp/app/pipelines/zero_shot_classification.py | from typing import Any, Dict, List, Optional
from app.pipelines import Pipeline
from paddlenlp.taskflow import Taskflow
class ZeroShotClassificationPipeline(Pipeline):
def __init__(self, model_id: str):
self.taskflow = Taskflow(
"zero_shot_text_classification",
task_path=model_id,... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp/app | hf_public_repos/api-inference-community/docker_images/paddlenlp/app/pipelines/__init__.py | from app.pipelines.base import Pipeline, PipelineException # isort:skip
from app.pipelines.conversational import ConversationalPipeline
from app.pipelines.fill_mask import FillMaskPipeline
from app.pipelines.summarization import SummarizationPipeline
from app.pipelines.zero_shot_classification import ZeroShotClassifi... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp | hf_public_repos/api-inference-community/docker_images/paddlenlp/tests/test_api_fill_mask.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from parameterized import parameterized_class
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"fill-mask" not in ALLOWED_TASKS,
"fill-mask not implemented",
)
@parame... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp | hf_public_repos/api-inference-community/docker_images/paddlenlp/tests/test_api_conversational.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from parameterized import parameterized_class
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"conversational" not in ALLOWED_TASKS,
"conversational not implemented",... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp | hf_public_repos/api-inference-community/docker_images/paddlenlp/tests/test_api_zero_shot_classification.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from parameterized import parameterized_class
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"summarization" not in ALLOWED_TASKS,
"summarization not implemented",
)... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp | hf_public_repos/api-inference-community/docker_images/paddlenlp/tests/test_docker_build.py | import os
import subprocess
from unittest import TestCase
class cd:
"""Context manager for changing the current working directory"""
def __init__(self, newPath):
self.newPath = os.path.expanduser(newPath)
def __enter__(self):
self.savedPath = os.getcwd()
os.chdir(self.newPath)
... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp | hf_public_repos/api-inference-community/docker_images/paddlenlp/tests/test_api_summarization.py | import json
import os
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS
from parameterized import parameterized_class
from starlette.testclient import TestClient
from tests.test_api import TESTABLE_MODELS
@skipIf(
"summarization" not in ALLOWED_TASKS,
"summarization not implemented",
)... |
0 | hf_public_repos/api-inference-community/docker_images/paddlenlp | hf_public_repos/api-inference-community/docker_images/paddlenlp/tests/test_api.py | import os
from typing import Dict
from unittest import TestCase, skipIf
from app.main import ALLOWED_TASKS, get_pipeline
# Must contain at least one example of each implemented pipeline
# Tests do not check the actual values of the model output, so small dummy
# models are recommended for faster tests.
TESTABLE_MODE... |
0 | hf_public_repos/api-inference-community | hf_public_repos/api-inference-community/scripts/export_tasks.py | """Exports a library -> supported tasks mapping in JSON format.
This script
- parses the source code of a library's app/main.py and extracts the AST
- finds the ALLOWED_TASKS variable and get all the keys.
- prints the library name as well as its tasks in JSON format.
Note that the transformer library is not include... |
0 | hf_public_repos | hf_public_repos/diffusers/setup.py | # Copyright 2024 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 applicabl... |
0 | hf_public_repos | hf_public_repos/diffusers/Makefile | .PHONY: deps_table_update modified_only_fixup extra_style_checks quality style fixup fix-copies test test-examples
# make sure to test the local checkout in scripts and not the pre-installed one (don't use quotes!)
export PYTHONPATH = src
check_dirs := examples scripts src tests utils benchmarks
modified_only_fixup:... |
0 | hf_public_repos | hf_public_repos/diffusers/PHILOSOPHY.md | <!--Copyright 2024 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... |
0 | hf_public_repos | hf_public_repos/diffusers/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... |
0 | hf_public_repos | hf_public_repos/diffusers/MANIFEST.in | include LICENSE
include src/diffusers/utils/model_card_template.md
|
0 | hf_public_repos | hf_public_repos/diffusers/CONTRIBUTING.md | <!--Copyright 2024 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... |
0 | hf_public_repos | hf_public_repos/diffusers/CITATION.cff | cff-version: 1.2.0
title: 'Diffusers: State-of-the-art diffusion models'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Patrick
family-names: von Platen
- given-names: Suraj
family-names: Patil
- given-names: Anton
fam... |
0 | hf_public_repos | hf_public_repos/diffusers/README.md | <!---
Copyright 2022 - 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 o... |
0 | hf_public_repos | hf_public_repos/diffusers/pyproject.toml | [tool.ruff]
line-length = 119
[tool.ruff.lint]
# Never enforce `E501` (line length violations).
ignore = ["C901", "E501", "E741", "F402", "F823"]
select = ["C", "E", "F", "I", "W"]
# Ignore import violations in all `__init__.py` files.
[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["E402", "F401", "F403", "F811"]... |
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