Instructions to use Barytes/hellohf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Barytes/hellohf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Barytes/hellohf")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Barytes/hellohf") model = AutoModelForMaskedLM.from_pretrained("Barytes/hellohf") - Notebooks
- Google Colab
- Kaggle
Upload tf_model.h5 with git-lfs
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:a7a17d6d844b5de815ccab5f42cad6d24496db3850a2a43d8258221018ce87d2
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size 536063208
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