Instructions to use satish860/sms_detection_algorithm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use satish860/sms_detection_algorithm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="satish860/sms_detection_algorithm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("satish860/sms_detection_algorithm") model = AutoModelForSequenceClassification.from_pretrained("satish860/sms_detection_algorithm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from satish860/sms_detection_algorithm: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
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https://huggingface.co/satish860/sms_detection_algorithm/resolve/main/.gitignore
- Command line
-
hf download hf://satish860/sms_detection_algorithm/.gitignore
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curl -L -o .gitignore https://huggingface.co/satish860/sms_detection_algorithm/resolve/main/.gitignore
13 Bytes
| checkpoint-*/ |