Instructions to use Harvinder6766/ams_non_ams_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harvinder6766/ams_non_ams_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Harvinder6766/ams_non_ams_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Harvinder6766/ams_non_ams_classifier") model = AutoModelForSequenceClassification.from_pretrained("Harvinder6766/ams_non_ams_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download data.csv from Harvinder6766/ams_non_ams_classifier: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
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https://huggingface.co/Harvinder6766/ams_non_ams_classifier/resolve/main/data.csv
- Command line
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hf download hf://Harvinder6766/ams_non_ams_classifier/data.csv
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curl -L -o data.csv https://huggingface.co/Harvinder6766/ams_non_ams_classifier/resolve/main/data.csv
2.42 MB
File too large to display, you can check the raw version instead.