Instructions to use danny911kr/tapas_simsiam_mlm_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danny911kr/tapas_simsiam_mlm_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="danny911kr/tapas_simsiam_mlm_2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("danny911kr/tapas_simsiam_mlm_2") model = AutoModel.from_pretrained("danny911kr/tapas_simsiam_mlm_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2288223c16e6d0008e5e038a8d7de13209320098cfdc661bcfac37bc9160257
- Size of remote file:
- 443 MB
- SHA256:
- ce26c6d28c2ba9321fddf8285ffe0734a576e0606cf34584467be5394512fdfd
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