Text Generation
Transformers
Safetensors
gpt2
trl
sft
Generated from Trainer
text-generation-inference
Instructions to use singhshiva/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use singhshiva/tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="singhshiva/tmp")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("singhshiva/tmp") model = AutoModelForCausalLM.from_pretrained("singhshiva/tmp") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use singhshiva/tmp with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "singhshiva/tmp" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "singhshiva/tmp", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/singhshiva/tmp
- SGLang
How to use singhshiva/tmp with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "singhshiva/tmp" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "singhshiva/tmp", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "singhshiva/tmp" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "singhshiva/tmp", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use singhshiva/tmp with Docker Model Runner:
docker model run hf.co/singhshiva/tmp
| # This file may be used to create an environment using: | |
| # $ conda create --name <env> --file <this file> | |
| # platform: linux-64 | |
| _libgcc_mutex=0.1=conda_forge | |
| _openmp_mutex=4.5=2_gnu | |
| absl-py=1.4.0=pypi_0 | |
| aiofiles=22.1.0=pypi_0 | |
| aiohttp=3.9.1=py310h2372a71_0 | |
| aiohttp-cors=0.7.0=pypi_0 | |
| aiorwlock=1.3.0=pypi_0 | |
| aiosignal=1.3.1=pyhd8ed1ab_0 | |
| aiosqlite=0.19.0=pypi_0 | |
| annotated-types=0.6.0=pypi_0 | |
| anyio=4.2.0=pyhd8ed1ab_0 | |
| apache-beam=2.46.0=pypi_0 | |
| archspec=0.2.2=pyhd8ed1ab_0 | |
| argon2-cffi=23.1.0=pyhd8ed1ab_0 | |
| argon2-cffi-bindings=21.2.0=py310h2372a71_4 | |
| array-record=0.5.0=pypi_0 | |
| arrow=1.3.0=pyhd8ed1ab_0 | |
| asttokens=2.4.1=pyhd8ed1ab_0 | |
| astunparse=1.6.3=pypi_0 | |
| async-timeout=4.0.3=pyhd8ed1ab_0 | |
| attrs=23.2.0=pyh71513ae_0 | |
| babel=2.14.0=pypi_0 | |
| backoff=2.2.1=pypi_0 | |
| beatrix-jupyterlab=2023.128.151533=pypi_0 | |
| beautifulsoup4=4.12.2=pyha770c72_0 | |
| bleach=6.1.0=pyhd8ed1ab_0 | |
| blessed=1.20.0=pypi_0 | |
| boltons=23.1.1=pyhd8ed1ab_0 | |
| brotli-python=1.1.0=py310hc6cd4ac_1 | |
| brotlipy=0.7.0=py310h7f8727e_1002 | |
| bzip2=1.0.8=h7b6447c_0 | |
| c-ares=1.25.0=hd590300_0 | |
| ca-certificates=2023.11.17=hbcca054_0 | |
| cached-property=1.5.2=hd8ed1ab_1 | |
| cached_property=1.5.2=pyha770c72_1 | |
| cachetools=4.2.4=pypi_0 | |
| certifi=2023.11.17=pyhd8ed1ab_0 | |
| cffi=1.16.0=py310h2fee648_0 | |
| charset-normalizer=3.3.2=pyhd8ed1ab_0 | |
| click=8.1.7=pypi_0 | |
| cloud-tpu-client=0.10=pypi_0 | |
| cloud-tpu-profiler=2.4.0=pypi_0 | |
| cloudpickle=2.2.1=pypi_0 | |
| colorama=0.4.6=pyhd8ed1ab_0 | |
| colorful=0.5.6=pypi_0 | |
| comm=0.2.1=pyhd8ed1ab_0 | |
| conda=23.11.0=py310hff52083_1 | |
| conda-libmamba-solver=23.12.0=pyhd8ed1ab_0 | |
| conda-package-handling=2.2.0=pyh38be061_0 | |
| conda-package-streaming=0.9.0=pyhd8ed1ab_0 | |
| contourpy=1.2.0=pypi_0 | |
| crcmod=1.7=pypi_0 | |
| cryptography=41.0.7=py310hb8475ec_1 | |
| cycler=0.12.1=pypi_0 | |
| cython=3.0.8=pypi_0 | |
| dacite=1.8.1=pypi_0 | |
| dataproc-jupyter-plugin=0.1.66=pypi_0 | |
| db-dtypes=1.2.0=pypi_0 | |
| debugpy=1.8.0=py310hc6cd4ac_1 | |
| decorator=5.1.1=pyhd8ed1ab_0 | |
| defusedxml=0.7.1=pyhd8ed1ab_0 | |
| deprecated=1.2.14=pypi_0 | |
| dill=0.3.1.1=pypi_0 | |
| distlib=0.3.8=pypi_0 | |
| distro=1.9.0=pyhd8ed1ab_0 | |
| dlenv-tf-2-15-gpu=1.0.20240111=py310ha20f8e0_0 | |
| dm-tree=0.1.8=pypi_0 | |
| docker=7.0.0=pypi_0 | |
| docopt=0.6.2=pypi_0 | |
| docstring-parser=0.15=pypi_0 | |
| entrypoints=0.4=pyhd8ed1ab_0 | |
| etils=1.6.0=pypi_0 | |
| exceptiongroup=1.2.0=pyhd8ed1ab_2 | |
| executing=2.0.1=pyhd8ed1ab_0 | |
| explainable-ai-sdk=1.3.3=pypi_0 | |
| farama-notifications=0.0.4=pypi_0 | |
| fastapi=0.108.0=pypi_0 | |
| fastavro=1.9.3=pypi_0 | |
| fasteners=0.19=pypi_0 | |
| filelock=3.13.1=pypi_0 | |
| flatbuffers=23.5.26=pypi_0 | |
| fmt=10.1.1=h00ab1b0_1 | |
| fonttools=4.47.0=pypi_0 | |
| fqdn=1.5.1=pyhd8ed1ab_0 | |
| frozenlist=1.4.1=py310h2372a71_0 | |
| fsspec=2023.12.2=pypi_0 | |
| gast=0.5.4=pypi_0 | |
| gcsfs=2023.12.2.post1=pypi_0 | |
| gitdb=4.0.11=pypi_0 | |
| gitpython=3.1.41=pypi_0 | |
| gmp=6.3.0=h59595ed_0 | |
| google-api-core=1.34.0=pypi_0 | |
| google-api-core-grpc=2.11.1=hd8ed1ab_0 | |
| google-api-python-client=1.8.0=pypi_0 | |
| google-apitools=0.5.31=pypi_0 | |
| google-auth=2.26.1=pyhca7485f_0 | |
| google-auth-httplib2=0.1.1=pypi_0 | |
| google-auth-oauthlib=1.2.0=pypi_0 | |
| google-cloud-aiplatform=1.39.0=pypi_0 | |
| google-cloud-artifact-registry=1.10.0=pypi_0 | |
| google-cloud-bigquery=3.15.0=pypi_0 | |
| google-cloud-bigquery-storage=2.16.2=pypi_0 | |
| google-cloud-bigtable=1.7.3=pypi_0 | |
| google-cloud-core=2.4.1=pyhd8ed1ab_0 | |
| google-cloud-datastore=1.15.5=pyhd8ed1ab_0 | |
| google-cloud-dlp=3.14.0=pypi_0 | |
| google-cloud-jupyter-config=0.0.5=pypi_0 | |
| google-cloud-language=1.3.2=pypi_0 | |
| google-cloud-monitoring=2.18.0=pypi_0 | |
| google-cloud-pubsub=2.19.0=pypi_0 | |
| google-cloud-pubsublite=1.9.0=pypi_0 | |
| google-cloud-recommendations-ai=0.7.1=pypi_0 | |
| google-cloud-resource-manager=1.11.0=pypi_0 | |
| google-cloud-spanner=3.40.1=pypi_0 | |
| google-cloud-storage=2.14.0=pypi_0 | |
| google-cloud-videointelligence=1.16.3=pypi_0 | |
| google-cloud-vision=3.5.0=pypi_0 | |
| google-crc32c=1.5.0=pypi_0 | |
| google-pasta=0.2.0=pypi_0 | |
| google-resumable-media=2.7.0=pypi_0 | |
| googleapis-common-protos=1.62.0=pyhd8ed1ab_0 | |
| gpustat=1.0.0=pypi_0 | |
| greenlet=3.0.3=pypi_0 | |
| grpc-cpp=1.48.1=hc2bec63_1 | |
| grpc-google-iam-v1=0.12.7=pypi_0 | |
| grpcio=1.60.0=pypi_0 | |
| grpcio-status=1.48.2=pypi_0 | |
| gviz-api=1.10.0=pypi_0 | |
| gymnasium=0.28.1=pypi_0 | |
| h11=0.14.0=pypi_0 | |
| h5py=3.10.0=pypi_0 | |
| hdfs=2.7.3=pypi_0 | |
| htmlmin=0.1.12=pypi_0 | |
| httplib2=0.21.0=pypi_0 | |
| httptools=0.6.1=pypi_0 | |
| icu=73.2=h59595ed_0 | |
| idna=3.6=pyhd8ed1ab_0 | |
| imagehash=4.3.1=pypi_0 | |
| imageio=2.33.1=pypi_0 | |
| importlib-metadata=6.11.0=pypi_0 | |
| importlib_metadata=7.0.1=hd8ed1ab_0 | |
| importlib_resources=6.1.1=pyhd8ed1ab_0 | |
| ipykernel=6.28.0=pyhd33586a_0 | |
| ipython=8.20.0=pyh707e725_0 | |
| ipython-genutils=0.2.0=pypi_0 | |
| ipython-sql=0.5.0=pypi_0 | |
| ipython_genutils=0.2.0=py_1 | |
| ipywidgets=8.1.1=pypi_0 | |
| isoduration=20.11.0=pyhd8ed1ab_0 | |
| jaraco-classes=3.3.0=pypi_0 | |
| jax-jumpy=1.0.0=pypi_0 | |
| jedi=0.19.1=pyhd8ed1ab_0 | |
| jeepney=0.8.0=pypi_0 | |
| jinja2=3.1.2=pyhd8ed1ab_1 | |
| joblib=1.3.2=pypi_0 | |
| json5=0.9.14=pypi_0 | |
| jsonpatch=1.33=pyhd8ed1ab_0 | |
| jsonpointer=2.4=py310hff52083_3 | |
| jsonschema=4.20.0=pyhd8ed1ab_0 | |
| jsonschema-specifications=2023.12.1=pyhd8ed1ab_0 | |
| jsonschema-with-format-nongpl=4.20.0=pyhd8ed1ab_0 | |
| jupyter-client=7.4.9=pypi_0 | |
| jupyter-http-over-ws=0.0.8=pypi_0 | |
| jupyter-server-fileid=0.9.1=pypi_0 | |
| jupyter-server-mathjax=0.2.6=pypi_0 | |
| jupyter-server-proxy=4.1.0=pypi_0 | |
| jupyter-server-ydoc=0.8.0=pypi_0 | |
| jupyter-ydoc=0.2.5=pypi_0 | |
| jupyter_client=8.6.0=pyhd8ed1ab_0 | |
| jupyter_core=5.7.1=py310hff52083_0 | |
| jupyter_events=0.9.0=pyhd8ed1ab_0 | |
| jupyter_server=2.12.3=pyhd8ed1ab_0 | |
| jupyter_server_terminals=0.5.1=pyhd8ed1ab_0 | |
| jupyterlab=3.6.6=pypi_0 | |
| jupyterlab-git=0.44.0=pypi_0 | |
| jupyterlab-server=2.25.2=pypi_0 | |
| jupyterlab-widgets=3.0.9=pypi_0 | |
| jupyterlab_pygments=0.3.0=pyhd8ed1ab_0 | |
| jupytext=1.16.0=pypi_0 | |
| keras=2.15.0=pypi_0 | |
| keras-tuner=1.4.6=pypi_0 | |
| kernels-mixer=0.0.7=pypi_0 | |
| keyring=24.3.0=pypi_0 | |
| keyrings-google-artifactregistry-auth=1.1.2=pypi_0 | |
| keyutils=1.6.1=h166bdaf_0 | |
| kfp=2.5.0=pypi_0 | |
| kfp-pipeline-spec=0.2.2=pypi_0 | |
| kfp-server-api=2.0.5=pypi_0 | |
| kiwisolver=1.4.5=pypi_0 | |
| krb5=1.21.2=h659d440_0 | |
| kt-legacy=1.0.5=pypi_0 | |
| kubernetes=26.1.0=pypi_0 | |
| lazy-loader=0.3=pypi_0 | |
| ld_impl_linux-64=2.40=h41732ed_0 | |
| libabseil=20220623.0=cxx17_h05df665_6 | |
| libarchive=3.7.2=h2aa1ff5_1 | |
| libclang=16.0.6=pypi_0 | |
| libcurl=8.5.0=hca28451_0 | |
| libedit=3.1.20191231=he28a2e2_2 | |
| libev=4.33=hd590300_2 | |
| libffi=3.4.2=h7f98852_5 | |
| libgcc-ng=13.2.0=h807b86a_3 | |
| libgomp=13.2.0=h807b86a_3 | |
| libiconv=1.17=hd590300_2 | |
| libmamba=1.5.6=had39da4_0 | |
| libmambapy=1.5.6=py310h39ff949_0 | |
| libnghttp2=1.58.0=h47da74e_1 | |
| libnsl=2.0.1=hd590300_0 | |
| libprotobuf=3.20.3=h3eb15da_0 | |
| libsodium=1.0.18=h36c2ea0_1 | |
| libsolv=0.7.27=hfc55251_0 | |
| libsqlite=3.44.2=h2797004_0 | |
| libssh2=1.11.0=h0841786_0 | |
| libstdcxx-ng=13.2.0=h7e041cc_3 | |
| libuuid=2.38.1=h0b41bf4_0 | |
| libuv=1.46.0=hd590300_0 | |
| libxcrypt=4.4.36=hd590300_1 | |
| libxml2=2.12.3=h232c23b_0 | |
| libzlib=1.2.13=hd590300_5 | |
| llvmlite=0.41.1=pypi_0 | |
| lz4=4.3.3=pypi_0 | |
| lz4-c=1.9.4=hcb278e6_0 | |
| lzo=2.10=h516909a_1000 | |
| markdown=3.5.2=pypi_0 | |
| markdown-it-py=3.0.0=pypi_0 | |
| markupsafe=2.0.1=pypi_0 | |
| matplotlib=3.8.2=pypi_0 | |
| matplotlib-inline=0.1.6=pyhd8ed1ab_0 | |
| mdit-py-plugins=0.4.0=pypi_0 | |
| mdurl=0.1.2=pypi_0 | |
| menuinst=2.0.1=py310hff52083_0 | |
| mistune=3.0.2=pyhd8ed1ab_0 | |
| ml-dtypes=0.2.0=pypi_0 | |
| more-itertools=10.2.0=pypi_0 | |
| msgpack=1.0.7=pypi_0 | |
| multidict=6.0.4=py310h2372a71_1 | |
| multimethod=1.10=pypi_0 | |
| nb_conda=2.2.1=unix_7 | |
| nb_conda_kernels=2.3.1=pyhd8ed1ab_3 | |
| nbclassic=1.0.0=pyhb4ecaf3_1 | |
| nbclient=0.9.0=pypi_0 | |
| nbconvert=7.14.0=pyhd8ed1ab_0 | |
| nbconvert-core=7.14.0=pyhd8ed1ab_0 | |
| nbconvert-pandoc=7.14.0=pyhd8ed1ab_0 | |
| nbdime=3.2.0=pypi_0 | |
| nbformat=5.9.2=pyhd8ed1ab_0 | |
| ncurses=6.4=h59595ed_2 | |
| nest-asyncio=1.5.8=pyhd8ed1ab_0 | |
| networkx=3.2.1=pypi_0 | |
| nodejs=20.9.0=hb753e55_0 | |
| notebook=6.5.6=pypi_0 | |
| notebook-executor=0.2=pypi_0 | |
| notebook-shim=0.2.3=pyhd8ed1ab_0 | |
| numba=0.58.1=pypi_0 | |
| numpy=1.24.4=pypi_0 | |
| nvidia-ml-py=11.495.46=pypi_0 | |
| oauth2client=4.1.3=pypi_0 | |
| oauthlib=3.2.2=pypi_0 | |
| objsize=0.6.1=pypi_0 | |
| opencensus=0.11.4=pypi_0 | |
| opencensus-context=0.1.3=pypi_0 | |
| openssl=3.2.0=hd590300_1 | |
| opentelemetry-api=1.22.0=pypi_0 | |
| opentelemetry-exporter-otlp=1.22.0=pypi_0 | |
| opentelemetry-exporter-otlp-proto-common=1.22.0=pypi_0 | |
| opentelemetry-exporter-otlp-proto-grpc=1.22.0=pypi_0 | |
| opentelemetry-exporter-otlp-proto-http=1.22.0=pypi_0 | |
| opentelemetry-proto=1.22.0=pypi_0 | |
| opentelemetry-sdk=1.22.0=pypi_0 | |
| opentelemetry-semantic-conventions=0.43b0=pypi_0 | |
| opt-einsum=3.3.0=pypi_0 | |
| orjson=3.9.10=pypi_0 | |
| overrides=7.4.0=pyhd8ed1ab_0 | |
| packaging=23.2=pyhd8ed1ab_0 | |
| pandas=2.1.4=pypi_0 | |
| pandas-profiling=3.6.6=pypi_0 | |
| pandoc=3.1.3=h32600fe_0 | |
| pandocfilters=1.5.0=pyhd8ed1ab_0 | |
| papermill=2.5.0=pypi_0 | |
| parso=0.8.3=pyhd8ed1ab_0 | |
| patsy=0.5.6=pypi_0 | |
| pexpect=4.9.0=pypi_0 | |
| phik=0.12.4=pypi_0 | |
| pickleshare=0.7.5=py_1003 | |
| pillow=10.2.0=pypi_0 | |
| pip=23.3.2=pyhd8ed1ab_0 | |
| pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1 | |
| platformdirs=3.11.0=pypi_0 | |
| plotly=5.18.0=pypi_0 | |
| pluggy=1.3.0=pyhd8ed1ab_0 | |
| prettytable=3.9.0=pypi_0 | |
| prometheus_client=0.19.0=pyhd8ed1ab_0 | |
| promise=2.3=pypi_0 | |
| prompt-toolkit=3.0.43=pypi_0 | |
| proto-plus=1.23.0=pypi_0 | |
| protobuf=3.20.3=pypi_0 | |
| psutil=5.9.3=pypi_0 | |
| ptyprocess=0.7.0=pyhd3deb0d_0 | |
| pure_eval=0.2.2=pyhd8ed1ab_0 | |
| py-spy=0.3.14=pypi_0 | |
| pyarrow=9.0.0=pypi_0 | |
| pyasn1=0.5.1=pyhd8ed1ab_0 | |
| pyasn1-modules=0.3.0=pyhd8ed1ab_0 | |
| pybind11-abi=4=hd8ed1ab_3 | |
| pycosat=0.6.6=py310h2372a71_0 | |
| pycparser=2.21=pypi_0 | |
| pydantic=2.5.3=pypi_0 | |
| pydantic-core=2.14.6=pypi_0 | |
| pydot=1.4.2=pypi_0 | |
| pygments=2.17.2=pyhd8ed1ab_0 | |
| pyjwt=2.8.0=pypi_0 | |
| pymongo=3.13.0=pypi_0 | |
| pyopenssl=23.3.0=pyhd8ed1ab_0 | |
| pyparsing=3.1.1=pypi_0 | |
| pysocks=1.7.1=py310h06a4308_0 | |
| python=3.10.13=hd12c33a_1_cpython | |
| python-dateutil=2.8.2=pyhd8ed1ab_0 | |
| python-dotenv=1.0.0=pypi_0 | |
| python-fastjsonschema=2.19.1=pyhd8ed1ab_0 | |
| python-json-logger=2.0.7=pyhd8ed1ab_0 | |
| python_abi=3.10=4_cp310 | |
| pytz=2023.3.post1=pypi_0 | |
| pyu2f=0.1.5=pyhd8ed1ab_0 | |
| pywavelets=1.5.0=pypi_0 | |
| pyyaml=6.0.1=py310h2372a71_1 | |
| pyzmq=24.0.1=pypi_0 | |
| ray=2.9.0=pypi_0 | |
| ray-cpp=2.9.0=pypi_0 | |
| re2=2022.06.01=h27087fc_1 | |
| readline=8.2=h8228510_1 | |
| referencing=0.32.1=pyhd8ed1ab_0 | |
| regex=2023.12.25=pypi_0 | |
| reproc=14.2.4.post0=hd590300_1 | |
| reproc-cpp=14.2.4.post0=h59595ed_1 | |
| requests=2.31.0=pyhd8ed1ab_0 | |
| requests-oauthlib=1.3.1=pypi_0 | |
| requests-toolbelt=0.10.1=pypi_0 | |
| retrying=1.3.4=pypi_0 | |
| rfc3339-validator=0.1.4=pyhd8ed1ab_0 | |
| rfc3986-validator=0.1.1=pyh9f0ad1d_0 | |
| rich=13.7.0=pypi_0 | |
| rpds-py=0.16.2=py310hcb5633a_0 | |
| rsa=4.9=pyhd8ed1ab_0 | |
| ruamel.yaml=0.18.5=py310h2372a71_0 | |
| ruamel.yaml.clib=0.2.7=py310h2372a71_2 | |
| ruamel_yaml=0.15.100=py310h7f8727e_0 | |
| scikit-image=0.22.0=pypi_0 | |
| scikit-learn=1.3.2=pypi_0 | |
| scipy=1.11.4=pypi_0 | |
| seaborn=0.12.2=pypi_0 | |
| secretstorage=3.3.3=pypi_0 | |
| send2trash=1.8.2=pyh41d4057_0 | |
| setuptools=69.0.3=pyhd8ed1ab_0 | |
| shapely=2.0.2=pypi_0 | |
| simpervisor=1.0.0=pypi_0 | |
| six=1.16.0=pypi_0 | |
| smart-open=6.4.0=pypi_0 | |
| smmap=5.0.1=pypi_0 | |
| sniffio=1.3.0=pyhd8ed1ab_0 | |
| soupsieve=2.5=pyhd8ed1ab_1 | |
| sqlalchemy=2.0.25=pypi_0 | |
| sqlite=3.38.2=hc218d9a_0 | |
| sqlparse=0.4.4=pypi_0 | |
| stack-data=0.6.3=pypi_0 | |
| stack_data=0.6.2=pyhd8ed1ab_0 | |
| starlette=0.32.0.post1=pypi_0 | |
| statsmodels=0.14.1=pypi_0 | |
| tabulate=0.9.0=pypi_0 | |
| tangled-up-in-unicode=0.2.0=pypi_0 | |
| tenacity=8.2.3=pypi_0 | |
| tensorboard=2.15.1=pypi_0 | |
| tensorboard-data-server=0.7.2=pypi_0 | |
| tensorboard-plugin-profile=2.15.0=pypi_0 | |
| tensorboardx=2.6.2.2=pypi_0 | |
| tensorflow=2.15.0=pypi_0 | |
| tensorflow-cloud=0.1.16=pypi_0 | |
| tensorflow-datasets=4.9.4=pypi_0 | |
| tensorflow-estimator=2.15.0=pypi_0 | |
| tensorflow-hub=0.15.0=pypi_0 | |
| tensorflow-io=0.35.0=pypi_0 | |
| tensorflow-io-gcs-filesystem=0.35.0=pypi_0 | |
| tensorflow-metadata=0.14.0=pypi_0 | |
| tensorflow-probability=0.23.0=pypi_0 | |
| tensorflow-serving-api=2.14.1=pypi_0 | |
| tensorflow-transform=0.14.0=pypi_0 | |
| termcolor=2.4.0=pypi_0 | |
| terminado=0.18.0=pyh0d859eb_0 | |
| threadpoolctl=3.2.0=pypi_0 | |
| tifffile=2023.12.9=pypi_0 | |
| tinycss2=1.2.1=pyhd8ed1ab_0 | |
| tk=8.6.13=noxft_h4845f30_101 | |
| toml=0.10.2=pypi_0 | |
| tomli=2.0.1=pypi_0 | |
| tornado=6.3.3=py310h2372a71_1 | |
| tqdm=4.66.1=pyhd8ed1ab_0 | |
| traitlets=5.9.0=pyhd8ed1ab_0 | |
| truststore=0.8.0=pyhd8ed1ab_0 | |
| typeguard=4.1.5=pypi_0 | |
| typer=0.9.0=pypi_0 | |
| types-python-dateutil=2.8.19.20240106=pyhd8ed1ab_0 | |
| typing-extensions=4.9.0=hd8ed1ab_0 | |
| typing_extensions=4.9.0=pyha770c72_0 | |
| typing_utils=0.1.0=pyhd8ed1ab_0 | |
| tzdata=2023.4=pypi_0 | |
| uri-template=1.3.0=pyhd8ed1ab_0 | |
| uritemplate=3.0.1=pypi_0 | |
| urllib3=1.26.18=pypi_0 | |
| uvicorn=0.25.0=pypi_0 | |
| uvloop=0.19.0=pypi_0 | |
| virtualenv=20.21.0=pypi_0 | |
| visions=0.7.5=pypi_0 | |
| watchfiles=0.21.0=pypi_0 | |
| wcwidth=0.2.13=pyhd8ed1ab_0 | |
| webcolors=1.13=pyhd8ed1ab_0 | |
| webencodings=0.5.1=pyhd8ed1ab_2 | |
| websocket-client=1.7.0=pyhd8ed1ab_0 | |
| websockets=12.0=pypi_0 | |
| werkzeug=2.1.2=pypi_0 | |
| wheel=0.42.0=pyhd8ed1ab_0 | |
| widgetsnbextension=4.0.9=pypi_0 | |
| witwidget=1.8.1=pypi_0 | |
| wordcloud=1.9.3=pypi_0 | |
| wrapt=1.14.1=pypi_0 | |
| xz=5.2.6=h166bdaf_0 | |
| y-py=0.6.2=pypi_0 | |
| yaml=0.2.5=h7b6447c_0 | |
| yaml-cpp=0.8.0=h59595ed_0 | |
| yarl=1.9.4=pypi_0 | |
| ydata-profiling=4.6.4=pypi_0 | |
| ypy-websocket=0.8.4=pypi_0 | |
| zeromq=4.3.5=h59595ed_0 | |
| zipp=3.17.0=pyhd8ed1ab_0 | |
| zlib=1.2.13=hd590300_5 | |
| zstandard=0.22.0=py310h1275a96_0 | |
| zstd=1.5.5=hfc55251_0 | |