Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Cielciel/aift-model-review-multiple-label-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cielciel/aift-model-review-multiple-label-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cielciel/aift-model-review-multiple-label-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cielciel/aift-model-review-multiple-label-classification") model = AutoModelForSequenceClassification.from_pretrained("Cielciel/aift-model-review-multiple-label-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download python_package/setup.py from Cielciel/aift-model-review-multiple-label-classification: direct link, hf CLI and curl.
- Browser
- Download file 492 Bytes
-
https://huggingface.co/Cielciel/aift-model-review-multiple-label-classification/resolve/main/python_package/setup.py
- Command line
-
hf download hf://Cielciel/aift-model-review-multiple-label-classification/python_package/setup.py
-
curl -L -o setup.py https://huggingface.co/Cielciel/aift-model-review-multiple-label-classification/resolve/main/python_package/setup.py
492 Bytes
| from setuptools import find_packages | |
| from setuptools import setup | |
| import setuptools | |
| from distutils.command.build import build as _build | |
| import subprocess | |
| REQUIRED_PACKAGES = [ | |
| 'transformers', | |
| 'datasets', | |
| 'tqdm', | |
| 'cloudml-hypertune' | |
| ] | |
| setup( | |
| name='trainer', | |
| version='0.1', | |
| install_requires=REQUIRED_PACKAGES, | |
| packages=find_packages(), | |
| include_package_data=True, | |
| description='Vertex AI | Training | PyTorch | Text Classification | Python Package' | |
| ) | |