Instructions to use EMBEDDIA/finest-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBEDDIA/finest-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EMBEDDIA/finest-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EMBEDDIA/finest-bert") model = AutoModelForMaskedLM.from_pretrained("EMBEDDIA/finest-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
c61edda
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Parent(s): b5af7fe
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:d6c0cb68f8481034db70684ec7130cd8b1034859d44acbb57e2b9ed7c37fbcf5
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size 574835727
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