Instructions to use funnel-transformer/intermediate-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use funnel-transformer/intermediate-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="funnel-transformer/intermediate-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("funnel-transformer/intermediate-base") model = AutoModel.from_pretrained("funnel-transformer/intermediate-base") - Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e64668a24dfeba403d67a21e0618975d56d11d7139da3d4aadf5f48a78351c8
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size 647142360
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