Instructions to use tobiaslee/bert-yfcc15m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tobiaslee/bert-yfcc15m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tobiaslee/bert-yfcc15m")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tobiaslee/bert-yfcc15m") model = AutoModelForMaskedLM.from_pretrained("tobiaslee/bert-yfcc15m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12845a244a95fbdb84434edcbaecaa7e853051f24e12b84de44147f87a3ea158
- Size of remote file:
- 254 MB
- SHA256:
- 99c7768d6955000ccc1f70bad368bee4adb9d9358dbf87c85eb61aa8f5fb4a5e
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