Instructions to use microsoft/infoxlm-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/infoxlm-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/infoxlm-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/infoxlm-base") model = AutoModelForMaskedLM.from_pretrained("microsoft/infoxlm-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54eff4248915caff08263afc6dc564cd2351a10b50f9276ee52bb318257d1f20
- Size of remote file:
- 942 MB
- SHA256:
- 2d90db785b5a6ebb57b70aa44f6182b9414c64fa302933c3bad68e97d4d82162
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