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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94bbbe276f69ba7432a43bcf68e31c281ce35d32bc84ca27b0aa669580cb91c2
- Size of remote file:
- 438 MB
- SHA256:
- fc2f1186d0621f0c69c74000f57045b6ee7e3f605f45e5374ce3fe4811bbd09a
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