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not-lain
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test-dynamic-pipeline

Text Classification
Transformers
PyTorch
Safetensors
bert
text-embeddings-inference
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xet
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="not-lain/test-dynamic-pipeline")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("not-lain/test-dynamic-pipeline")
model = AutoModelForSequenceClassification.from_pretrained("not-lain/test-dynamic-pipeline")
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how to load the pipeline 

from transformers import pipeline
pipe = pipeline(model="not-lain/test-dynamic-pipeline",trust_remote_code=True)
pipe("hi",second_text="hello")
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6
Safetensors
Model size
88k params
Tensor type
F32
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