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amasiukevich
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dummy_model

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files
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="amasiukevich/dummy_model")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("amasiukevich/dummy_model")
model = AutoModelForSequenceClassification.from_pretrained("amasiukevich/dummy_model", device_map="auto")
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My first shiny model

Welcome to my first model card!

Here I need to collect some Central definition,how was the model trained, use limitations, potential biases, reproducibility tips, code samples.

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F32
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