Instructions to use internlm/internlm2-wqx-vl-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internlm/internlm2-wqx-vl-clip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="internlm/internlm2-wqx-vl-clip")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("internlm/internlm2-wqx-vl-clip") model = AutoModel.from_pretrained("internlm/internlm2-wqx-vl-clip", device_map="auto") - Notebooks
- Google Colab
- Kaggle
InternLM2-WQX-VL-CLIP
Introduction
InternLM2-WQX-VL-CLIP是InternLM2-WQX-VL的CLIP Vision Tower,属于InternLM团队于2024年高考前夕最新推出的文曲星系列模型。
MD5 Check
模型权重和InternLM2-WQX-VL-20B 🤗中/clip_l_560_pro7b完全一致
$ md5sum ./*
97b05f40ee9826eda467489eed65f85c ./pytorch_model.bin
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