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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("i-timur/microdata-classifier") model = AutoModelForSequenceClassification.from_pretrained("i-timur/microdata-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d0252a7ae2998e30d080ec103a4c91455865a6b45da3bfe1a26a7ff940c2b11
- Size of remote file:
- 711 MB
- SHA256:
- f9108e267b8fe675c60b69d1eb5995927c3f7dddea631492d4c6687cc442b9cc
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