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shub-kris
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claire-text-classification-model

Text Classification
Transformers
Safetensors
English
distilbert
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="shub-kris/claire-text-classification-model")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("shub-kris/claire-text-classification-model")
model = AutoModelForSequenceClassification.from_pretrained("shub-kris/claire-text-classification-model", device_map="auto")
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Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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  • Finetuned from model [optional]: [More Information Needed]

How to Get Started with the Model

Use the code below to get started with the model.

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Model size
67M params
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F32
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Dataset used to train shub-kris/claire-text-classification-model