Instructions to use ESGBERT/GovernanceBERT-governance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ESGBERT/GovernanceBERT-governance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ESGBERT/GovernanceBERT-governance")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ESGBERT/GovernanceBERT-governance") model = AutoModelForSequenceClassification.from_pretrained("ESGBERT/GovernanceBERT-governance", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f594535edc5a45f77ed5fb483df9f5ad121af0bb0d0e99c10af1ae5a54a934c3
- Size of remote file:
- 329 MB
- SHA256:
- 95e971e42e7bd9674ab8f7784243b7548ad9e233c0d955d58ad15ad81cdd5489
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