Instructions to use KevSun/climate-attitude-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KevSun/climate-attitude-LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KevSun/climate-attitude-LM")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KevSun/climate-attitude-LM") model = AutoModelForSequenceClassification.from_pretrained("KevSun/climate-attitude-LM") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cabc3aa9cb179fc3c9196a1f38abb273607ecd8191747e031eb2f45b371ce8e8
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size 498620100
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