Instructions to use SergeyTW/insights_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SergeyTW/insights_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SergeyTW/insights_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SergeyTW/insights_model") model = AutoModelForSequenceClassification.from_pretrained("SergeyTW/insights_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8f21539e7c0a450d494cc88ae9018f24f606f0938a059b9b9bd67228a0efd64
- Size of remote file:
- 3.52 kB
- SHA256:
- fc0b6ccb9163473133a42997149fee53079b2d7cee315d059b1d10adf7a1c18d
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