phi-4-mini-uncensored
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qwen1.5-0.5b-uncensored
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View details ↗qwen2.5-0.5b-uncensored
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View details ↗qwen2.5-1.5b-uncensored
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View details ↗qwen2.5-3b-uncensored
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View details ↗qwen3.5-0.8b-uncensored
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View details ↗qwen3.5-2b-uncensored
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View details ↗qwen3.5-4b-uncensored
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View details ↗smollm-360m-uncensored
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View details ↗smolm2-1.7b-uncensored
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View details ↗smolm3-3b-uncensored
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View details ↗stablelm-2-1.6b-uncensored
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View details ↗stablelm-2-zephyr-1.6b-uncensored
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View details ↗segformer-v1-breastcancer
as-cle-bert基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Llama-3.2-1B-Instruct-GGUF
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View details ↗bert-base-arabic
asafayaYou can use this model by installing `torch` or `tensorflow` and Huggingface library `transformers`. And you can use it directly by initializing it like this: Thanks to Google for providing free TPU for the training process and for Huggingface for hosting this model on their servers 😊
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View details ↗bert-large-arabic
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View details ↗bert-medium-arabic
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View details ↗bert-mini-arabic
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View details ↗kanarya-2b
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View details ↗kanarya-750m
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View details ↗tner-xlm-roberta-base-ontonotes5
asahi417XLM-RoBERTa finetuned on NER. - **Developed by:** Asahi Ushio - **Shared by [Optional]:** Hugging Face - **Model type:** Token Classification - **Language(s) (NLP):** en - **License:** More information needed - **Related Models:** XLM-RoBERTa - **Parent Model:** XLM-RoBERTa - **Resources for more information:** - GitHub Repo - Associated Paper - Space This model can be used in conjunction with the tner library. The model should not be used to intentionally create hostile or alienating environments for people.
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View details ↗tner-xlm-roberta-large-bc5cdr
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