mllm-dev

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gpt2_f_experiment_drug_data_large

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# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="mllm-dev/gpt2_f_experiment_drug_data_large")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("mllm-dev/gpt2_f_experiment_drug_data_large")
model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/gpt2_f_experiment_drug_data_large")