The Transformer Library is a powerful natural language processing tool library that provides a rich set of pre-trained models and convenient usage interfaces. It is widely used in NLP tasks such as text generation, classification, and translation, greatly improving development efficiency.

Natural Language ProcessingTransformers

OpenMed-NER-ChemicalDetect-MultiMed-568M is a biomedical NLP model specifically designed for chemical entity recognition, capable of accurately identifying chemical compounds and substances in biomedical literature. This model is based on the bge-m3 architecture and was trained on the BC4CHEMD dataset, achieving an F1 score of 0.9459, providing strong support for biomedical research and clinical applications.

Natural Language ProcessingTransformersEnglish

This is a Korean natural language processing model based on the 🤗 Transformers library, trained for one epoch on the public Korean dataset from Hugging Face. It is suitable for various Korean NLP tasks.

Natural Language ProcessingTransformers

A 7B-parameter instruction-tuned model developed by Alibaba NLP based on the Qwen2 architecture, specializing in text generation and sentence similarity tasks.

Natural Language ProcessingTransformers

BioClinical ModernBERT is a biomedical and clinical natural language processing model built on ModernBERT, with the ability to process long contexts and performs excellently in biomedical and clinical NLP tasks.

Natural Language ProcessingTransformersEnglish

Falcon-H1 is a decoder-only causal model with a hybrid Transformers + Mamba architecture developed by TII, focusing on English NLP tasks with excellent performance.

Natural Language ProcessingTransformers

PPACE is an 8-billion-parameter large language model specifically designed for automatic classification of biomedical funding project abstracts, supporting the World Health Organization's research priority classification.

Natural Language ProcessingTransformers

T0++ is a natural language processing model based on the T5 architecture, achieving zero-shot task generalization through multi-task prompt training, outperforming GPT-3 on various NLP tasks while being more compact.

Natural Language ProcessingTransformersEnglish

A sentence transformer optimized based on Alibaba NLP's ModernBERT architecture, focusing on sentence similarity calculation and feature extraction

Natural Language ProcessingSafetensors

This is a sentence-transformers model fine-tuned from Alibaba NLP/gte-modernbert-base, designed for semantic text similarity computation to implement semantic caching functionality.

Natural Language ProcessingSafetensors

This is a sentence transformer model fine-tuned on Alibaba NLP/gte-modernbert-base, specifically designed for semantic text similarity calculation in the medical field, supporting semantic caching functionality.

Natural Language ProcessingSentence-transformers

This is a sentence transformer model fine-tuned from Alibaba NLP/gte-base-en-v1.5, designed to map text into a 768-dimensional vector space, supporting tasks such as semantic similarity calculation.

Natural Language ProcessingSafetensorsOther

Pre-trained model provided by Hugging Face Transformers library, suitable for various NLP tasks

Natural Language ProcessingTransformers

A quantized version based on Alibaba NLP/gte-Qwen2-1.5B-instruct, primarily used for sentence similarity computation and text embedding tasks.

Natural Language ProcessingGgufEnglish

A 7B-parameter multilingual text embedding model developed by Alibaba NLP team, specializing in sentence similarity tasks, offering multiple quantization versions

Natural Language ProcessingGgufEnglish

This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on the InLegalNER dataset, specifically designed for named entity recognition tasks in Indian legal texts.

Natural Language ProcessingTransformers

GaMS - 9B is an improved model based on Google Gemma 2 - 9B. It has undergone continuous pre - training specifically for the Slovenian language and also supports English, Croatian, Serbian, and Bosnian. This model performs excellently in Slovenian NLP tasks and is a high - performance open - source language model for the Slovenian - speaking community.

Natural Language ProcessingTransformersMultiple Languages

Modern-FinBERT-large is a pre-trained NLP model specifically designed for financial sentiment analysis. Based on the ModernBERT-large language model, it is trained on large-scale financial corpora to adapt to financial text classification tasks.

Natural Language ProcessingTransformersEnglish

This model is a Russian automatic speech recognition (ASR) model fine-tuned on the common_voice_17_0 dataset based on facebook/wav2vec2-xls-r-300m, with a word error rate (WER) of 0.195.

Audio ProcessingTransformers

Pretrained Transformer models provided by Hugging Face, supporting various NLP tasks

Natural Language ProcessingTransformers