Instructions to use Dohui/embedding_workshop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dohui/embedding_workshop with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Dohui/embedding_workshop")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Dohui/embedding_workshop") model = AutoModelForMaskedLM.from_pretrained("Dohui/embedding_workshop") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c7dc974bd42615816936202392bf8f951b55a71c0d4778feb3f296d98dacb8f
- Size of remote file:
- 4.73 kB
- SHA256:
- 67e5ff555e011989a7066a4b8028174244762d7ee75e0cc1ba5d4a1b7d400c90
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