标签：HF自然语言处理

FinBERT is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice. It is trained o...

一个使用 Vicuna13B 基础的完全微调模型，由@NousResearch训练，建立在基于 GPT-4 的数据集的巨大数据集上——我的 GPTeacher、GPT4-LLM 和 WizardLM，以及@kar...

Model Trained Using AutoNLP Problem type: Multi-class Classification Model ID: 492513457 CO2 Emissions (in grams): 5.527544460835904 ...

German Sentiment Classification with Bert This model was trained for sentiment classification of German language texts. To achieve the best resul...

CodeBERT fine-tuned for Insecure Code Detection codebert-base fine-tuned on CodeXGLUE — Defect Detection dataset for Insecure Code Detection down...

RoBERTa Base OpenAI Detector Table of Contents Model Details Uses Risks, Limitations and Biases Training Evaluation Environmenta...

Cross-Encoder for MS Marco This model was trained on the MS Marco Passage Ranking task. The model can be used for Information Retrieval: Given a ...

FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance d...

BERT是一个transformers模型，它是在一个大型英文语料库上进行自监督预训练的。这意味着它仅在原始文本上进行预训练，没有任何人类以任何方式对其进行标注（...

distilbert-base-uncased-go-emotions-student Model Description This model is distilled from the zero-shot classification pipeline on the unlabeled...