Instructions to use microsoft/infoxlm-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/infoxlm-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/infoxlm-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/infoxlm-large") model = AutoModelForMaskedLM.from_pretrained("microsoft/infoxlm-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 564f9344f6b259e653c42a2bb557db15c8dc6739a8735e34f4ffc6d1aea12b89
- Size of remote file:
- 2.24 GB
- SHA256:
- 0ece83eea87c6db5e09cb3b6e70e24e46fb992d7bf4813608925486741b6d2d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.