Text Classification
Transformers
PyTorch
English
roberta
text classification
fact checking
text-embeddings-inference
Instructions to use mwong/roberta-base-climate-evidence-related with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mwong/roberta-base-climate-evidence-related with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mwong/roberta-base-climate-evidence-related")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mwong/roberta-base-climate-evidence-related") model = AutoModelForSequenceClassification.from_pretrained("mwong/roberta-base-climate-evidence-related") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Evaluation results for mwong/roberta-base-climate-evidence-related model as a base model for other tasks
#1 opened over 3 years ago
by
eladven