How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="JLei/climate_fever_roberta-base-fact-checking")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("JLei/climate_fever_roberta-base-fact-checking")
model = AutoModelForSequenceClassification.from_pretrained("JLei/climate_fever_roberta-base-fact-checking")
Quick Links
README.md exists but content is empty.
Downloads last month
10
Safetensors
Model size
0.3B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Dataset used to train JLei/climate_fever_roberta-base-fact-checking