Instructions to use ESGBERT/SocialBERT-social with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ESGBERT/SocialBERT-social with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ESGBERT/SocialBERT-social")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ESGBERT/SocialBERT-social") model = AutoModelForSequenceClassification.from_pretrained("ESGBERT/SocialBERT-social", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from ESGBERT/SocialBERT-social: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
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https://huggingface.co/ESGBERT/SocialBERT-social/resolve/04a0be3b7e82d026dcf285e8e8dd4aedb0379a07/README.md
- Command line
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hf download hf://ESGBERT/SocialBERT-social@04a0be3b7e82d026dcf285e8e8dd4aedb0379a07/README.md
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curl -L -o README.md https://huggingface.co/ESGBERT/SocialBERT-social/resolve/04a0be3b7e82d026dcf285e8e8dd4aedb0379a07/README.md
28 Bytes
| license: apache-2.0 | |