Instructions to use SelmaNajih001/PricePredictionForMicrosoft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SelmaNajih001/PricePredictionForMicrosoft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SelmaNajih001/PricePredictionForMicrosoft")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SelmaNajih001/PricePredictionForMicrosoft") model = AutoModelForSequenceClassification.from_pretrained("SelmaNajih001/PricePredictionForMicrosoft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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pipe = pipeline("text-classification", model="SelmaNajih001/PricePredictionForMicrosoft")
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pipe("Microsoft announces new Azure service launch")
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pipe = pipeline("text-classification", model="SelmaNajih001/PricePredictionForMicrosoft")
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pipe("Microsoft announces new Azure service launch")
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```
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You can try the model on its space: https://huggingface.co/spaces/SelmaNajih001/MicrosoftStockPrediction
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Here an example of output
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