Text Classification
Transformers
PyTorch
English
roberta
text classification
fact checking
text-embeddings-inference
Instructions to use mwong/climatebert-base-f-fever-evidence-related with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mwong/climatebert-base-f-fever-evidence-related with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mwong/climatebert-base-f-fever-evidence-related")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mwong/climatebert-base-f-fever-evidence-related") model = AutoModelForSequenceClassification.from_pretrained("mwong/climatebert-base-f-fever-evidence-related", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K