# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("jkefeli/CancerStage_Classifier_M")
model = AutoModelForSequenceClassification.from_pretrained("jkefeli/CancerStage_Classifier_M", device_map="auto")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
To use the model, add the following from the transformers package:
(1) Tokenizer:
tokenizer = AutoTokenizer.from_pretrained("yikuan8/Clinical-BigBird")
(2) Model type:
#M in [0,1]
num_classes = 2
model = BigBirdForSequenceClassification.from_pretrained(directory, num_labels=num_classes)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jkefeli/CancerStage_Classifier_M")