ALBERT model Pretraining and Fine Tuning using TF2.0
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Updated
Mar 24, 2023 - Python
ALBERT model Pretraining and Fine Tuning using TF2.0
[ECCV 2024] M3DBench introduces a comprehensive 3D instruction-following dataset with support for interleaved multi-modal prompts.
Coevolutionary discovery using genome language models
Minimal Learning Machine implementation using the scikit-learn API.
Epsilon is a bidirectional transformer trained via masked language modeling.
Just practising deploying MLM locally on my laptop
Reference training stack for MimeLens: byte vs binary-BPE MLM pretraining for small BERT-style encoders on binary content.
This is a guide on how to train a new language from scratch with Transformers. this scripts use Oscar Corpus as the dataset and a MLM task model is trained for Farsi Language
This repository extends a basic MLM implementation to allow for efficiently conditioning on chained previous texts, in a tree; for e.g., a Reddit thread.
BERT and GPT Model Implementation with Training Procedures
Fine-tuned chemical language model for predicting molecular lipophilicity in drug design. Explores parameter-efficient fine-tuning strategies (LoRA, BitFit, IA3), layer freezing techniques, and influence-based data selection. Balances accuracy and computational efficiency for molecular property prediction tasks.
BERT-Large-scale encoder pretraining under tight memory: FSDP, activation checkpointing, AMP, FlashAttention-ready attention — PaLM-style parallel blocks, SwiGLU, XPos. 341M params.
直销/分销团队业绩计算 + D3.js 推荐网络可视化。基于推荐关系有向图算出每个会员的直推人数、团队总人数、团队累计营业额。MLM team performance calculator (networkx + D3.js).
Training multilingual language models on African languages including Amharic, Fulani, Hausa, Somali, Swahili, and Yoruba.
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