Instructions to use ESGBERT/EnvRoBERTa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ESGBERT/EnvRoBERTa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ESGBERT/EnvRoBERTa-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ESGBERT/EnvRoBERTa-base") model = AutoModelForMaskedLM.from_pretrained("ESGBERT/EnvRoBERTa-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1376224571cf0048ec42d1c335b572dfe9eac3603e95b12c84c26fc2dbc05fce
- Size of remote file:
- 499 MB
- SHA256:
- 957c0af5ded9dacca29574af146d0033e30818dc5973fcb722e67094b2df223d
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