Text Classification
Transformers
PyTorch
Safetensors
English
roberta
climate
text-embeddings-inference
Instructions to use climatebert/distilroberta-base-climate-specificity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/distilroberta-base-climate-specificity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climatebert/distilroberta-base-climate-specificity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climatebert/distilroberta-base-climate-specificity") model = AutoModelForSequenceClassification.from_pretrained("climatebert/distilroberta-base-climate-specificity") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac42c717b620384062c885a3ffdd34fec4a3f8c1ffc40b13812f5c272d313e86
- Size of remote file:
- 329 MB
- SHA256:
- 94b3301f09a1c67c4fd92904cd61ddf07fcf2b3698b337cb96fad59f6a6d72ce
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