Instructions to use erikacardenas300/StartupClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erikacardenas300/StartupClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="erikacardenas300/StartupClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("erikacardenas300/StartupClassifier") model = AutoModelForSequenceClassification.from_pretrained("erikacardenas300/StartupClassifier") - Notebooks
- Google Colab
- Kaggle
Company Classifier
This fine-tuned Distilbert model is using company descriptions for classification. The model is tasked to classify the company as either finance or biotech. The demo can be found on my profile under Spaces (https://huggingface.co/erikacardenas300).
I hope you enjoy it!
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