Instructions to use monsoon-nlp/dv-labse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monsoon-nlp/dv-labse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="monsoon-nlp/dv-labse")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/dv-labse") model = AutoModelForMaskedLM.from_pretrained("monsoon-nlp/dv-labse") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a18f73426ae4401530088930c901bde5d05eb54a7f11714533e37ae0b5d2bc22
- Size of remote file:
- 1.97 GB
- SHA256:
- 7e3b73cf816c29bb3d6c3912fd8eae00df10afe8a14a93302325603cc39ecf01
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