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
Download tokenizer.json from climatebert/distilroberta-base-climate-tcfd: direct link, hf CLI and curl.
- Browser
- Download file 1.38 MB
-
https://huggingface.co/climatebert/distilroberta-base-climate-tcfd/resolve/main/tokenizer.json
- Command line
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hf download hf://climatebert/distilroberta-base-climate-tcfd/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/climatebert/distilroberta-base-climate-tcfd/resolve/main/tokenizer.json
1.38 MB
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