Instructions to use ESGBERT/GovernanceBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ESGBERT/GovernanceBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ESGBERT/GovernanceBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ESGBERT/GovernanceBERT-base") model = AutoModelForMaskedLM.from_pretrained("ESGBERT/GovernanceBERT-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32a3ce8702e0942f887cd197c45f02a94bc3d850716a7074e44320a3d1504b09
- Size of remote file:
- 4.09 kB
- SHA256:
- a6487982bd38e756c885f25c46578211d43257caa463096bf0f673422a40313d
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