ncbi/ncbi_disease
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How to use nadiamomtaz/trainer_output with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("token-classification", model="nadiamomtaz/trainer_output") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("nadiamomtaz/trainer_output")
model = AutoModelForTokenClassification.from_pretrained("nadiamomtaz/trainer_output", device_map="auto")This model is a fine-tuned version of microsoft/biogpt on the ncbi_disease dataset.
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The following hyperparameters were used during training:
Base model
microsoft/biogpt