How to use JeremiahZ/bert-base-uncased-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/bert-base-uncased-sst2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/bert-base-uncased-sst2") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/bert-base-uncased-sst2", device_map="auto")
https://huggingface.co/JeremiahZ/bert-base-uncased-sst2/resolve/refs%2Fpr%2F2/tokenizer.json
hf download hf://JeremiahZ/bert-base-uncased-sst2@refs/pr/2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/JeremiahZ/bert-base-uncased-sst2/resolve/refs%2Fpr%2F2/tokenizer.json
