How to use ledddev/dl_hw2_text_detector_roberta_task8_new_example with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ledddev/dl_hw2_text_detector_roberta_task8_new_example")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ledddev/dl_hw2_text_detector_roberta_task8_new_example") model = AutoModelForSequenceClassification.from_pretrained("ledddev/dl_hw2_text_detector_roberta_task8_new_example", device_map="auto")
https://huggingface.co/ledddev/dl_hw2_text_detector_roberta_task8_new_example/resolve/main/tokenizer.json
hf download hf://ledddev/dl_hw2_text_detector_roberta_task8_new_example/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ledddev/dl_hw2_text_detector_roberta_task8_new_example/resolve/main/tokenizer.json
