How to use galkinv42/filler-choice-classfier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="galkinv42/filler-choice-classfier")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("galkinv42/filler-choice-classfier") model = AutoModelForSequenceClassification.from_pretrained("galkinv42/filler-choice-classfier", device_map="auto")
https://huggingface.co/galkinv42/filler-choice-classfier/resolve/main/tokenizer.json
hf download hf://galkinv42/filler-choice-classfier/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/galkinv42/filler-choice-classfier/resolve/main/tokenizer.json
