Text Classification
Transformers
PyTorch
Safetensors
English
roberta
ClimateBERT
climate
text-embeddings-inference
Instructions to use climatebert/environmental-claims with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/environmental-claims with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climatebert/environmental-claims")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climatebert/environmental-claims") model = AutoModelForSequenceClassification.from_pretrained("climatebert/environmental-claims") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac86a0249b4ed65193b50cac0303278a68ffeb9cb07cdb54f39c7b49361df7e8
- Size of remote file:
- 329 MB
- SHA256:
- 5067aabbbad03cf0e5ffce7f054233cfab9b76075c3c403647096b49d54e1d92
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