How to use MatthewFrank/roberta-base_pytorch_1k_V01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MatthewFrank/roberta-base_pytorch_1k_V01")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MatthewFrank/roberta-base_pytorch_1k_V01") model = AutoModelForSequenceClassification.from_pretrained("MatthewFrank/roberta-base_pytorch_1k_V01", device_map="auto")
https://huggingface.co/MatthewFrank/roberta-base_pytorch_1k_V01/resolve/main/tokenizer.json
hf download hf://MatthewFrank/roberta-base_pytorch_1k_V01/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/MatthewFrank/roberta-base_pytorch_1k_V01/resolve/main/tokenizer.json
