Text Classification
Transformers
Safetensors
English
roberta
climate
esg
environment
adaptation
binary-classification
text-embeddings-inference
distilroberta
Instructions to use ClimateLouie/AdaptationBERT-distil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClimateLouie/AdaptationBERT-distil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ClimateLouie/AdaptationBERT-distil")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ClimateLouie/AdaptationBERT-distil") model = AutoModelForSequenceClassification.from_pretrained("ClimateLouie/AdaptationBERT-distil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ClimateLouie/AdaptationBERT-distil: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/ClimateLouie/AdaptationBERT-distil/resolve/main/tokenizer.json
- Command line
-
hf download hf://ClimateLouie/AdaptationBERT-distil/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ClimateLouie/AdaptationBERT-distil/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.