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Hello,
I'm having an issue trying to load model (base) on tensorflow 2.0
When trying to load checkpoints from different devices (e.g cpu from gpu) in tensorflow usually we use the following:
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# prompt
Calibrate Before Use: Improving Few-Shot Performance of Language Models (https://arxiv.org/abs/2102.09690)
p-tuning (https://arxiv.org/abs/2104.08691)
Do Prompt-Based Models Really Underst…
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- [LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day](https://arxiv.org/abs/2306.00890)
- [MEDITRON-70B: Scaling Medical Pretraining for Large Language Models](http…
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I have just checked encodings that autotokenizer produces. It seems that for words "wuhan", "ncov", "coronavirus", "covid", or "sars-cov-2" it produces more than one token, while tokenizer produces on…
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BERT is pre-trained using Wikipedia and other sources of normal text, but my problem domain has a very specific vocabulary & grammar. Is there an easy way to train BERT completely from domain specific…
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**Case: SQuAD task, sequence length > 512**
Does your script utilizes cached memory/extended context in a segment, such that the predictions are inferred from sequence longer than 512 tokens?
If…
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## Problem statement
1. performance bottleneck in knowledge-based VQA due to two-phase architecture consists of knowledge retrieval from external soruces and training question answering task in super…
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We could augment the BERT training data with English text, or text in other languages, machine translated to Irish and/or with automatic paraphrases of Irish text.
Is their previous work adding syn…
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### 📦 Environment
Vercel
### 📌 Version
v1.26.11
### 💻 Operating System
Windows
### 🌐 Browser
Chrome
### 🐛 Bug Description
When "Get Model List" is pressed on Github, it reports "0 models avai…
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[8.22-8.30] 这段时间想研究这个子方向