diff --git a/poetry.lock b/poetry.lock
index 53b35d01681b69e31db348e3cda54839a5bb54bf..68a8e12ef90ffa9c6ed31e8a94d14f58544e3a74 100644
--- a/poetry.lock
+++ b/poetry.lock
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testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+[[package]]
+name = "jinja2"
+version = "3.1.2"
+description = "A very fast and expressive template engine."
+optional = true
+python-versions = ">=3.7"
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+
+[package.dependencies]
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+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
[[package]]
name = "joblib"
version = "1.3.2"
@@ -1175,6 +1192,75 @@ traitlets = ">=5.3"
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
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+version = "2.1.3"
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+optional = true
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version = "0.1.6"
@@ -1402,6 +1488,24 @@ files = [
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]
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+
[[package]]
name = "nltk"
version = "3.8.1"
@@ -1461,6 +1565,147 @@ files = [
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+[[package]]
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+version = "11.4.5.107"
+description = "CUDA solver native runtime libraries"
+optional = true
+python-versions = ">=3"
+files = [
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+[package.dependencies]
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+nvidia-cusparse-cu12 = "*"
+nvidia-nvjitlink-cu12 = "*"
+
+[[package]]
+name = "nvidia-cusparse-cu12"
+version = "12.1.0.106"
+description = "CUSPARSE native runtime libraries"
+optional = true
+python-versions = ">=3"
+files = [
+ {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
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+
+[package.dependencies]
+nvidia-nvjitlink-cu12 = "*"
+
+[[package]]
+name = "nvidia-nccl-cu12"
+version = "2.18.1"
+description = "NVIDIA Collective Communication Library (NCCL) Runtime"
+optional = true
+python-versions = ">=3"
+files = [
+ {file = "nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:1a6c4acefcbebfa6de320f412bf7866de856e786e0462326ba1bac40de0b5e71"},
+]
+
+[[package]]
+name = "nvidia-nvjitlink-cu12"
+version = "12.3.101"
+description = "Nvidia JIT LTO Library"
+optional = true
+python-versions = ">=3"
+files = [
+ {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl", hash = "sha256:64335a8088e2b9d196ae8665430bc6a2b7e6ef2eb877a9c735c804bd4ff6467c"},
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+]
+
+[[package]]
+name = "nvidia-nvtx-cu12"
+version = "12.1.105"
+description = "NVIDIA Tools Extension"
+optional = true
+python-versions = ">=3"
+files = [
+ {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
+ {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
+]
+
[[package]]
name = "onnx"
version = "1.15.0"
@@ -2584,6 +2829,59 @@ files = [
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
]
+[[package]]
+name = "torch"
+version = "2.1.2"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+optional = true
+python-versions = ">=3.8.0"
+files = [
+ {file = "torch-2.1.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:3a871edd6c02dae77ad810335c0833391c1a4ce49af21ea8cf0f6a5d2096eea8"},
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+ {file = "torch-2.1.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:9ca96253b761e9aaf8e06fb30a66ee301aecbf15bb5a303097de1969077620b6"},
+ {file = "torch-2.1.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:d93ba70f67b08c2ae5598ee711cbc546a1bc8102cef938904b8c85c2089a51a0"},
+ {file = "torch-2.1.2-cp39-cp39-win_amd64.whl", hash = "sha256:255b50bc0608db177e6a3cc118961d77de7e5105f07816585fa6f191f33a9ff3"},
+ {file = "torch-2.1.2-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:6984cd5057c0c977b3c9757254e989d3f1124f4ce9d07caa6cb637783c71d42a"},
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+]
+
+[package.dependencies]
+filelock = "*"
+fsspec = "*"
+jinja2 = "*"
+networkx = "*"
+nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.18.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+sympy = "*"
+triton = {version = "2.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+typing-extensions = "*"
+
+[package.extras]
+dynamo = ["jinja2"]
+opt-einsum = ["opt-einsum (>=3.3)"]
+
[[package]]
name = "tornado"
version = "6.4"
@@ -2707,6 +3005,31 @@ torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata",
video = ["av (==9.2.0)", "decord (==0.6.0)"]
vision = ["Pillow (>=10.0.1,<=15.0)"]
+[[package]]
+name = "triton"
+version = "2.1.0"
+description = "A language and compiler for custom Deep Learning operations"
+optional = true
+python-versions = "*"
+files = [
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+ {file = "triton-2.1.0-0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:919b06453f0033ea52c13eaf7833de0e57db3178d23d4e04f9fc71c4f2c32bf8"},
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+ {file = "triton-2.1.0-0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:82fc5aeeedf6e36be4e4530cbdcba81a09d65c18e02f52dc298696d45721f3bd"},
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+]
+
+[package.dependencies]
+filelock = "*"
+
+[package.extras]
+build = ["cmake (>=3.18)", "lit"]
+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
+tutorials = ["matplotlib", "pandas", "tabulate"]
+
[[package]]
name = "types-pyyaml"
version = "6.0.12.12"
@@ -2887,9 +3210,9 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
[extras]
fastembed = ["fastembed"]
hybrid = ["pinecone-text"]
-local = ["transformers"]
+local = ["torch", "transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
-content-hash = "1d34bc34be3223c82352f8afb99ffb0f5357083138913ca4dcb74ca5b2a8fcae"
+content-hash = "9cfa7fae3109942320a1e65fa30ee94e5b355beda5e1b285228b179bc462b4ac"
diff --git a/pyproject.toml b/pyproject.toml
index c4b0d12b71a9456294a52709e2329cc7a6fd3bc5..02cde056bb3452f0aa72dc68b320ff27b7727819 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,12 +23,13 @@ pinecone-text = {version = "^0.7.0", optional = true}
colorlog = "^6.8.0"
pyyaml = "^6.0.1"
fastembed = {version = "^0.1.3", optional = true}
+torch = {version = "^2.1.2", optional = true}
transformers = {version = "^4.36.2", optional = true}
[tool.poetry.extras]
hybrid = ["pinecone-text"]
fastembed = ["fastembed"]
-local = ["transformers"]
+local = ["torch", "transformers"]
[tool.poetry.group.dev.dependencies]
ipykernel = "^6.26.0"