Instructions to use julien-c/dummy-diff-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use julien-c/dummy-diff-tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="julien-c/dummy-diff-tokenizer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("julien-c/dummy-diff-tokenizer") model = AutoModelForMaskedLM.from_pretrained("julien-c/dummy-diff-tokenizer") - 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 sha256:4a8fce317e36e320941d2d200a1747c94d2a8ee0b24c8289522b579ea53eac40
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size 157312
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