Instructions to use fspacheco/climate-claim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fspacheco/climate-claim with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fspacheco/climate-claim")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fspacheco/climate-claim") model = AutoModelForSequenceClassification.from_pretrained("fspacheco/climate-claim") - 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 sha256:0e1bf7df6ded21b90a2c57ab175ffca115f1420a63cd90fb06148610166ea845
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size 329218404
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