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:
- 1d621bc827bd9b96466c65dff6e5afc5a749fa2130ff37d5c1f5076bd6283cdb
- Size of remote file:
- 329 MB
- SHA256:
- cf0cb45e9f4f4de608889fea6703373a5f6fcab01faf8c1c4532f1ef67f9ad6d
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