Instructions to use LogicSpine/address-large-text-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LogicSpine/address-large-text-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="LogicSpine/address-large-text-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LogicSpine/address-large-text-classifier") model = AutoModelForSequenceClassification.from_pretrained("LogicSpine/address-large-text-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/Sep11_10-55-26_r-5m4ck3r-autotrainers1-nm0vj2jq-600e5-1di1j/events.out.tfevents.1726052127.r-5m4ck3r-autotrainers1-nm0vj2jq-600e5-1di1j.104.0
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