Instructions to use mlnotes/tape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlnotes/tape with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mlnotes/tape")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mlnotes/tape") model = AutoModel.from_pretrained("mlnotes/tape") - Notebooks
- Google Colab
- Kaggle
ADD pytorch_model with MLM weights.
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7cf24153b002ea4dedc60f87649cbb4997d4273cb05a6d7acbefa696c1cd4d34
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size 370280937
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