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This repository contains code and models for the paper: SpanBERT: Improving Pre-training by Representing and Predicting Spans. If you prefer to use Huggingface, please check out this link -- https://huggingface.co/SpanBERT
The main features of facebookresearch/spanbert are: Language Modeling, Pretrained Language Models.
Open-source alternatives to facebookresearch/spanbert include: qwenlm/qwen-7b — Qwen-7B is a pretrained causal language model designed for natural language generation, text processing, and complex… ari-holtzman/degen. facebookresearch/xlm — PyTorch original implementation of Cross-lingual Language Model Pretraining. google-research/albert — ALBERT. google-research/bert — This project is a transformer-based language model and natural language processing toolkit designed to generate deep… allenai/longformer — Longformer and LongformerEncoderDecoder (LED) are pretrained transformer models for long documents.
Qwen-7B is a pretrained causal language model designed for natural language generation, text processing, and complex reasoning tasks. It is available as an instruction-tuned model optimized for conversational interactions and a tool-use model capable of executing function calls and interacting with external APIs. The project provides a quantized version of the model to reduce GPU memory usage and supports the development of autonomous agents that can execute code and perform functions to complete complex goals. The system covers a wide range of capabilities including model fine-tuning throug
PyTorch original implementation of Cross-lingual Language Model Pretraining.
Longformer and LongformerEncoderDecoder (LED) are pretrained transformer models for long documents.