Instructions to use tgsc/microsoft-deberta-large-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tgsc/microsoft-deberta-large-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tgsc/microsoft-deberta-large-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tgsc/microsoft-deberta-large-generator") model = AutoModelForMaskedLM.from_pretrained("tgsc/microsoft-deberta-large-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 372a893e0835921dec51af06262cbcabd4be4a2afa98f9984fc3dc8358b5a949
- Size of remote file:
- 1.14 GB
- SHA256:
- 362179fc99afd2e806691f00f90e1e92b06a34bb14a40360cdde75c2423c5cd7
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