Instructions to use ACIDE/User-VLM-10B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACIDE/User-VLM-10B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="ACIDE/User-VLM-10B-Instruct")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACIDE/User-VLM-10B-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6190b5d7f1c0ecdfa413ecb79fd69fe317066e7f7e844e0e937360bdbc0f822e
- Size of remote file:
- 5.57 kB
- SHA256:
- e66bb7f9f685b838bff9f893e50909a9fd2e7fe5d75b9d0d6f7e1a8e689055d1
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