Instructions to use SamuelYang/SentMAE_MSMARCO_Domain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamuelYang/SentMAE_MSMARCO_Domain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SamuelYang/SentMAE_MSMARCO_Domain")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SamuelYang/SentMAE_MSMARCO_Domain") model = AutoModelForMaskedLM.from_pretrained("SamuelYang/SentMAE_MSMARCO_Domain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3530e0001fca25b3b512eac8139ed7f165581a0fc721f353e368b2433872756c
- Size of remote file:
- 438 MB
- SHA256:
- 6eeda6da2000b6b2d02130c674900bc7b9451f7a214d63868e0a935a0d53beaf
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