Instructions to use danny911kr/tapas_simsiam_mlm_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danny911kr/tapas_simsiam_mlm_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="danny911kr/tapas_simsiam_mlm_1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("danny911kr/tapas_simsiam_mlm_1") model = AutoModel.from_pretrained("danny911kr/tapas_simsiam_mlm_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd2e54413929dd1041df837326a7150569e48690bc009b2e95e25b5b1844f657
- Size of remote file:
- 443 MB
- SHA256:
- efc15fbf1e1861f602006f79f1b58f9dc8ce06bd831522c2442bd5338b52befb
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