Instructions to use funnel-transformer/large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use funnel-transformer/large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="funnel-transformer/large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("funnel-transformer/large") model = AutoModel.from_pretrained("funnel-transformer/large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adds tokenizer_config.json file
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (1bb51591322aeeb5953487fea7f5c7cf5a651d8b) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b1415e8
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Typographical Error Fix: Remove redundant "objective" in the first sentence. (#1)
- Typographical Error Fix: Remove redundant "objective" in the first sentence. (dfc4fccb977e903f21893750b2a5f321e5f2e9a1) Co-authored-by: ShaneSmith <ShaneFF@users.noreply.huggingface.co>3f56dd1
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Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/funnel-transformer/large/README.md2976295
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Update tokenizer.json
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