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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40ca08fe6142309ec6abad3ea85957853ea446b83ca6326c64511f6df7aef604
- Size of remote file:
- 4.09 kB
- SHA256:
- d49941959de105fa415c55d1c1ce6fbdd01552cb2f6a072ba580957f90deb82d
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