Instructions to use Milanmg/BERT-67 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Milanmg/BERT-67 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Milanmg/BERT-67")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Milanmg/BERT-67") model = AutoModelForMaskedLM.from_pretrained("Milanmg/BERT-67") - Notebooks
- Google Colab
- Kaggle
Upload 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 sha256:9d6b6002ca5eaa95035b2800bea5cde55bb77c44e47301e0e18629b1d4072e13
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size 533687680
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