Instructions to use raphaelsty/sparsembed-max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/sparsembed-max with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raphaelsty/sparsembed-max")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raphaelsty/sparsembed-max") model = AutoModelForMaskedLM.from_pretrained("raphaelsty/sparsembed-max") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ab7150014ad19b878d31d0aa57cd59d17b48cb65f638aafdb0bd63f34039dca
- Size of remote file:
- 268 MB
- SHA256:
- b4410c67ed44e716dce6b11f2c8bbb5a632d7e727635b122ce5d0449f0d002b2
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