Instructions to use i-timur/microdata-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use i-timur/microdata-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="i-timur/microdata-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("i-timur/microdata-classifier") model = AutoModelForSequenceClassification.from_pretrained("i-timur/microdata-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from i-timur/microdata-classifier: direct link, hf CLI and curl.
- Browser
- Download file 10 Bytes
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https://huggingface.co/i-timur/microdata-classifier/resolve/main/.gitignore
- Command line
-
hf download hf://i-timur/microdata-classifier/.gitignore
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curl -L -o .gitignore https://huggingface.co/i-timur/microdata-classifier/resolve/main/.gitignore
10 Bytes
| .DS_Store | |