EraX JS Company has 5 repositories available. Follow their code on GitHub.

2024年9月23日 · Below, we provide simple examples to show how to use EraX-VL-7B-V1 🤗 Transformers. The code of EraX-VL-7B-V1 has been in the latest Hugging face transformers and we advise you to build from source with command: Install the necessary packages:

2025年1月11日 · EraX-VL (LLM vision large language model) is NOT a typical OCR-only tool likes Tesseract but is a Multimodal LLM-based model. To use it effectively, you may have to twist your prompt carefully depending on your tasks. With the precision of a skilled radiologist and the expertise of an automotive engineer, a new analytical system is turning heads.

The EraX-VL-7B model stands out for its precise recognition capabilities across a range of documents 📝, including medical forms 🩺, invoices 🧾, bills of sale 💳, quotes 📄, and medical records 💊. This functionality is expected to be highly beneficial for hospitals 🏥, clinics 💉, insurance companies 🛡️, and other similar ...

EraX-VL-7B-V1.5 is a young member of our EraX's LànhGPT collection of LLM models. Prompt examples: Some popular prompt examples on Github. The EraX-VL-7B-V1.5 achieved exceptionally high performance compared to other models of equal size or even 10 times larger, and we open-source! You can re-run the benchmark at any time.

2024年6月12日 · Eaton Vance Atlanta Capital SMID-Cap will continue to enjoy significant personnel and process advantages over its rivals after the late-2024 modifications to its management team, and it retains its...

2024年9月23日 · EraX-VL-7B-V1 is the latest version of the vision language models in the EraX model families. Below is the evaluation benchmark of global open-source and proprietary Multimodal Models on the MTVQA Vietnamese test set conducted by VinBigdata. We plan to conduct more detailed and diverse evaluations in the near future.

ERAX : 主成份及含量： Anidulafungin 100mg/vial(需冷藏) 適應症： 抗黴菌劑: 用法用量： 念珠菌血症、腹腔內念珠菌感染 : 第一天 200mg 、後 100 mg QD。 食道念珠菌感 染：第一天 100 mg 、後 50 mg QD。 可能的副作用： 皮疹、蕁麻疹、潮紅、搔癢、呼吸困難及低血壓: 禁忌：

Text-Centric Visual Question Answering (TEC-VQA) in its proper format not only facilitates human-machine interaction in text-centric visual environments but also serves as a de facto gold proxy to evaluate AI models in the domain of text-centric scene understanding.

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