Text Classification
Transformers
PyTorch
Safetensors
English
roberta
climate
text-embeddings-inference
Instructions to use climatebert/distilroberta-base-climate-tcfd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/distilroberta-base-climate-tcfd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climatebert/distilroberta-base-climate-tcfd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climatebert/distilroberta-base-climate-tcfd") model = AutoModelForSequenceClassification.from_pretrained("climatebert/distilroberta-base-climate-tcfd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (f46087e7f83767dfa4ce9e3fee0d956f82be0a83) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>970630b
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Update tokenizer based on new language model
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Update model based on new language model and new training samples
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