Instructions to use huggingface/funnel-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingface/funnel-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="huggingface/funnel-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("huggingface/funnel-small") model = AutoModel.from_pretrained("huggingface/funnel-small") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb40a3fa50b5d7c7b0c25e7a129fc0c01d09cdb0a68ce06eaf16809137798d27
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size 524001378
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