How to use Hartunka/distilbert_rand_10_v2_sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hartunka/distilbert_rand_10_v2_sst2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hartunka/distilbert_rand_10_v2_sst2") model = AutoModelForSequenceClassification.from_pretrained("Hartunka/distilbert_rand_10_v2_sst2", device_map="auto")
https://huggingface.co/Hartunka/distilbert_rand_10_v2_sst2/resolve/main/tokenizer.json
hf download hf://Hartunka/distilbert_rand_10_v2_sst2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Hartunka/distilbert_rand_10_v2_sst2/resolve/main/tokenizer.json
