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/trainer/__init__.py from Cielciel/aift-model-review-multiple-label-classification: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/Cielciel/aift-model-review-multiple-label-classification/resolve/main/python_package/trainer/__init__.py
- Command line
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hf download hf://Cielciel/aift-model-review-multiple-label-classification/python_package/trainer/__init__.py
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curl -L -o __init__.py https://huggingface.co/Cielciel/aift-model-review-multiple-label-classification/resolve/main/python_package/trainer/__init__.py
0 Bytes