Instructions to use AnonymousSub/FPDM_bertlarge_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/FPDM_bertlarge_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/FPDM_bertlarge_model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/FPDM_bertlarge_model") model = AutoModel.from_pretrained("AnonymousSub/FPDM_bertlarge_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cbab9ce540dea3e9c0deff1c19dbb576ffdcd1a19b5589748bed2d786ef9117
- Size of remote file:
- 1.34 GB
- SHA256:
- b490126b64bf9e26ea68da0f922e52c0e1b52b08237d5d72bd9605785cf8e31f
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