Instructions to use ESGBERT/EnvironmentalBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ESGBERT/EnvironmentalBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ESGBERT/EnvironmentalBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ESGBERT/EnvironmentalBERT-base") model = AutoModelForMaskedLM.from_pretrained("ESGBERT/EnvironmentalBERT-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64cca866f77d04b75ddf9f7272a0474f712aa60239a45d5bc602a83474dc056c
- Size of remote file:
- 329 MB
- SHA256:
- 64640648b7ca20baadc6ce801d2bd78497bcb87ac643ceb4b2403176b04a5533
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