Instructions to use pradhyra/AWSBlogBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pradhyra/AWSBlogBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pradhyra/AWSBlogBert", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pradhyra/AWSBlogBert") model = AutoModelForMaskedLM.from_pretrained("pradhyra/AWSBlogBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 49a141a
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 sha256:83043d5441a1c134e496f8d5f68b62fba8ce74b6c091ed1801c33237eba5abc3
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size 327869505
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