Instructions to use circulartext/thestats2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circulartext/thestats2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="circulartext/thestats2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("circulartext/thestats2") model = AutoModelForSequenceClassification.from_pretrained("circulartext/thestats2") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Description
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TheStats is built
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## Features
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- Provides importance scores for phrases in the range of 1 to 10.
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## Description
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TheStats is built to facilitate the analysis and prioritization of phrases in statistical sports data. It streamlines the process of identifying key information, making it a valuable tool for sports data enthusiasts.
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## Features
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- Provides importance scores for phrases in the range of 1 to 10.
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