Instructions to use activebus/BERT_Review with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use activebus/BERT_Review with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="activebus/BERT_Review")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("activebus/BERT_Review") model = AutoModelForMaskedLM.from_pretrained("activebus/BERT_Review") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 213dd11
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:bfbe3a69334606805f671b99c649d938f3e4f4fff647ffce9bd3a5fc8da2fa48
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size 438064459
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