How to use OTAR3088/CeLLaTe3.0_Base_no_vague_adapted_pubmed_gaz_lr_5e-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OTAR3088/CeLLaTe3.0_Base_no_vague_adapted_pubmed_gaz_lr_5e-5")
# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OTAR3088/CeLLaTe3.0_Base_no_vague_adapted_pubmed_gaz_lr_5e-5") model = AutoModelForTokenClassification.from_pretrained("OTAR3088/CeLLaTe3.0_Base_no_vague_adapted_pubmed_gaz_lr_5e-5")
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