How to use Hartunka/bert_base_rand_20_v2_qnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hartunka/bert_base_rand_20_v2_qnli")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_rand_20_v2_qnli") model = AutoModelForSequenceClassification.from_pretrained("Hartunka/bert_base_rand_20_v2_qnli", device_map="auto")
https://huggingface.co/Hartunka/bert_base_rand_20_v2_qnli/resolve/main/tokenizer.json
hf download hf://Hartunka/bert_base_rand_20_v2_qnli/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Hartunka/bert_base_rand_20_v2_qnli/resolve/main/tokenizer.json
