Text Classification
Transformers
PyTorch
English
roberta
climate
climate change
text-embeddings-inference
Instructions to use gorgilazarev3/climatecognize-climate-topic-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gorgilazarev3/climatecognize-climate-topic-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gorgilazarev3/climatecognize-climate-topic-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gorgilazarev3/climatecognize-climate-topic-detection") model = AutoModelForSequenceClassification.from_pretrained("gorgilazarev3/climatecognize-climate-topic-detection") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot