How to use Hartunka/distilbert_rand_100_v2_mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hartunka/distilbert_rand_100_v2_mnli")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hartunka/distilbert_rand_100_v2_mnli") model = AutoModelForSequenceClassification.from_pretrained("Hartunka/distilbert_rand_100_v2_mnli", device_map="auto")
https://huggingface.co/Hartunka/distilbert_rand_100_v2_mnli/resolve/main/tokenizer.json
hf download hf://Hartunka/distilbert_rand_100_v2_mnli/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Hartunka/distilbert_rand_100_v2_mnli/resolve/main/tokenizer.json
