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Vit-Cifar100
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View details ↗bert-base-qarib
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View details ↗CyberStrike-OffSec-35B-GGUF
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View details ↗Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF
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View details ↗Ornith-1.5-35B-A3B-OptiQ-static-5.5bpw
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View details ↗ai-text-detector-model
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View details ↗FinancialBERT
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View details ↗FinancialBERT-Sentiment-Analysis
ahmedrachidThe model was fine-tuned for Sentiment Analysis task on _Financial PhraseBank_ dataset. Experiments show that this model outperforms the general BERT and other financial domain-specific models. More details on `FinancialBERT`'s pre-training process can be found at: https://www.researchgate.net/publication/358284785_FinancialBERT_-_A_Pretrained_Language_Model_for_Financial_Text_Mining FinancialBERT model was fine-tuned on Financial PhraseBank, a dataset consisting of 4840 Financial News categorised by sentiment (negative, neutral, positive).
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View details ↗gvr-model
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View details ↗Luck-spark-V-300-MoE
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View details ↗tyt-uzmanlar
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