Text Classification
Transformers
Safetensors
English
distilbert
steam
video games
text-embeddings-inference
Instructions to use tjkeay/Distilbert_Steam_Sentiment_Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tjkeay/Distilbert_Steam_Sentiment_Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tjkeay/Distilbert_Steam_Sentiment_Small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tjkeay/Distilbert_Steam_Sentiment_Small") model = AutoModelForSequenceClassification.from_pretrained("tjkeay/Distilbert_Steam_Sentiment_Small") - Notebooks
- Google Colab
- Kaggle
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README.md
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Evaluation Results: {'eval_train_loss': 0.14118799567222595, 'eval_test_loss': 0.1386687308549881}
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### Testing Data, Factors & Metrics
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#### Testing Data
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A train-test split of the same steam reviews dataset was used.
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Evaluation Results: {'eval_train_loss': 0.14118799567222595, 'eval_test_loss': 0.1386687308549881}
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#### Testing Data
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A train-test split of the same steam reviews dataset was used.
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