How to use mllm-dev/gpt2_m_experiment_drug_data_ties_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/gpt2_m_experiment_drug_data_ties_test")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/gpt2_m_experiment_drug_data_ties_test") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/gpt2_m_experiment_drug_data_ties_test", device_map="auto")
https://huggingface.co/mllm-dev/gpt2_m_experiment_drug_data_ties_test/resolve/main/tokenizer.json
hf download hf://mllm-dev/gpt2_m_experiment_drug_data_ties_test/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/mllm-dev/gpt2_m_experiment_drug_data_ties_test/resolve/main/tokenizer.json
