Instructions to use yiyanghkust/finbert-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yiyanghkust/finbert-pretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yiyanghkust/finbert-pretrain")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("yiyanghkust/finbert-pretrain", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add TF weights
#6
by joaogante - opened
- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:11aaf53b4bc36d6941774e9ea08f5c8c82f87ff874fc6315c2c805281032d97c
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size 535845564
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