How to use beethogedeon/roberta-base_environmental_claims with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="beethogedeon/roberta-base_environmental_claims")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("beethogedeon/roberta-base_environmental_claims") model = AutoModelForSequenceClassification.from_pretrained("beethogedeon/roberta-base_environmental_claims", device_map="auto")
https://huggingface.co/beethogedeon/roberta-base_environmental_claims/resolve/main/tokenizer.json
hf download hf://beethogedeon/roberta-base_environmental_claims/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/beethogedeon/roberta-base_environmental_claims/resolve/main/tokenizer.json
