shiva-s936/ELMo-Deep-Contextualized-Word-Representations
An implementation of ELMo embeddings using PyTorch, featuring stacked Bi-LSTMs for contextualized word representations. Pretrained on bidirectional language modeling and evaluated on the AG News dataset for text classification, achieving metrics like accuracy, F1, and precision.
No commits in the last 6 months.
Stars
1
Forks
1
Language
Python
License
—
Category
Last pushed
Oct 18, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/shiva-s936/ELMo-Deep-Contextualized-Word-Representations"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sileod/tasknet
Easy modernBERT fine-tuning and multi-task learning
codertimo/BERT-pytorch
Google AI 2018 BERT pytorch implementation
920232796/bert_seq2seq
pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。
JayYip/m3tl
BERT for Multitask Learning
graykode/toeicbert
TOEIC(Test of English for International Communication) solving using pytorch-pretrained-BERT model.