Instructions to use m3hrdadfi/albert-fa-base-v2-sentiment-multi 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-multi 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-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/albert-fa-base-v2-sentiment-multi") model = AutoModelForSequenceClassification.from_pretrained("m3hrdadfi/albert-fa-base-v2-sentiment-multi") - Notebooks
- Google Colab
- Kaggle
Update eval_results_alpbert-sentiment.txt
Browse files
eval_results_alpbert-sentiment.txt
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eval_loss = 1.058762077887853
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eval_acc = 0.7070833333333333
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eval_f1 = 0.7072468745161637
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eval_acc_and_f1 = 0.7071651039247485
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epoch = 5.0
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