Instructions to use activebus/BERT-PT_rest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use activebus/BERT-PT_rest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="activebus/BERT-PT_rest")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("activebus/BERT-PT_rest") model = AutoModelForMaskedLM.from_pretrained("activebus/BERT-PT_rest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
f263af7
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Parent(s): 2fd6b56
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:610a1e030b00c77e55021185f73ed8ad64cfb16e8e50dfdf242ce4aa523291c9
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size 438064459
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