How to use emilylearning/finetuned_cgp_add_name__f_weight_5__p_dataset_100__test_False with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="emilylearning/finetuned_cgp_add_name__f_weight_5__p_dataset_100__test_False")
# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("emilylearning/finetuned_cgp_add_name__f_weight_5__p_dataset_100__test_False") model = AutoModelForTokenClassification.from_pretrained("emilylearning/finetuned_cgp_add_name__f_weight_5__p_dataset_100__test_False")
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