Instructions to use intfloat/simlm-base-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intfloat/simlm-base-msmarco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="intfloat/simlm-base-msmarco")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("intfloat/simlm-base-msmarco") model = AutoModelForMaskedLM.from_pretrained("intfloat/simlm-base-msmarco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aebea633599b31ddeb8c3832d8a1162d302980333ead9b6084a5dd788eb22d72
- Size of remote file:
- 495 MB
- SHA256:
- e3d9ea1cec984094188a1a618a40860b11fe684b2bb0e4c6cb7207459f487ada
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