Instructions to use dammy/esgBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dammy/esgBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dammy/esgBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dammy/esgBERT") model = AutoModelForSequenceClassification.from_pretrained("dammy/esgBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.preproc from dammy/esgBERT: direct link, hf CLI and curl.
- Browser
- Download file 2.15 kB
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https://huggingface.co/dammy/esgBERT/resolve/main/tf_model.preproc
- Command line
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hf download hf://dammy/esgBERT/tf_model.preproc
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curl -L -o tf_model.preproc https://huggingface.co/dammy/esgBERT/resolve/main/tf_model.preproc
2.15 kB
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