Instructions to use m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary") model = AutoModelForSequenceClassification.from_pretrained("m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary") - Notebooks
- Google Colab
- Kaggle
Update test_results.txt
Browse files- test_results.txt +4 -0
test_results.txt
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eval_loss = 0.23789469898855758
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eval_acc = 0.9112964366944655
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eval_f1 = 0.9109303975307296
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eval_acc_and_f1 = 0.9111134171125975
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