How to use Aktsvigun/tmp_electra_large_aug_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aktsvigun/tmp_electra_large_aug_3")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/tmp_electra_large_aug_3") model = AutoModelForSequenceClassification.from_pretrained("Aktsvigun/tmp_electra_large_aug_3", device_map="auto")
https://huggingface.co/Aktsvigun/tmp_electra_large_aug_3/resolve/main/tokenizer.json
hf download hf://Aktsvigun/tmp_electra_large_aug_3/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Aktsvigun/tmp_electra_large_aug_3/resolve/main/tokenizer.json
