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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("funnel-transformer/large") model = AutoModel.from_pretrained("funnel-transformer/large") - Notebooks
- Google Colab
- Kaggle
Typographical Error Fix: Remove redundant "objective" in the first sentence.
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by ShaneFF - opened
README.md
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# Funnel Transformer large model (B8-8-8 with decoder)
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Pretrained model on English language using a similar objective
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[this paper](https://arxiv.org/pdf/2006.03236.pdf) and first released in
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[this repository](https://github.com/laiguokun/Funnel-Transformer). This model is uncased: it does not make a difference
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between english and English.
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# Funnel Transformer large model (B8-8-8 with decoder)
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Pretrained model on English language using a similar objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
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[this paper](https://arxiv.org/pdf/2006.03236.pdf) and first released in
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[this repository](https://github.com/laiguokun/Funnel-Transformer). This model is uncased: it does not make a difference
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between english and English.
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