Instructions to use funnel-transformer/small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use funnel-transformer/small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="funnel-transformer/small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("funnel-transformer/small") model = AutoModel.from_pretrained("funnel-transformer/small") - Inference
- Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e2682aa9aa8f980fe312ed25af5c4bf8badc47b19c6a152ad47e66a4ed41fde
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size 524172312
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