Instructions to use NLP4H/ms_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLP4H/ms_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NLP4H/ms_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NLP4H/ms_bert") model = AutoModelForMaskedLM.from_pretrained("NLP4H/ms_bert") - Notebooks
- Google Colab
- Kaggle
Commit ·
7883a03
1
Parent(s): f7cb577
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 sha256:0d19aea00c2d7972f3ff57467217f2ef010d954cd2718918ab79f46e4b1fb6e3
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size 438064459
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