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README.md
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## Model details
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- **Fine-tuned by:**
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- **Model type:** distilroberta-base
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- **Language(s) (NLP):** English
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- **License:** Apache license 2.0
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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tokenizer = AutoTokenizer.from_pretrained("
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model = AutoModelForSequenceClassification.from_pretrained("
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classifier = pipeline(
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"text-classification",
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from optimum.onnxruntime import ORTModelForSequenceClassification
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from transformers import AutoTokenizer, pipeline
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tokenizer = AutoTokenizer.from_pretrained("
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model = ORTModelForSequenceClassification.from_pretrained("
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classifier = pipeline(
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task="text-classification",
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```
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@misc{distilroberta-base-rejection-v1,
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author = {
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title = {Fine-Tuned DistilRoberta-Base for Rejection in the output Detection},
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year = {2024},
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publisher = {HuggingFace},
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url = {https://huggingface.co/
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}
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```
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## Model details
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- **Fine-tuned by:** ProtectAI.com
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- **Model type:** distilroberta-base
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- **Language(s) (NLP):** English
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- **License:** Apache license 2.0
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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tokenizer = AutoTokenizer.from_pretrained("ProtectAI/distilroberta-base-rejection-v1")
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model = AutoModelForSequenceClassification.from_pretrained("ProtectAI/distilroberta-base-rejection-v1")
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classifier = pipeline(
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"text-classification",
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from optimum.onnxruntime import ORTModelForSequenceClassification
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from transformers import AutoTokenizer, pipeline
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tokenizer = AutoTokenizer.from_pretrained("ProtectAI/distilroberta-base-rejection-v1", subfolder="onnx")
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model = ORTModelForSequenceClassification.from_pretrained("ProtectAI/distilroberta-base-rejection-v1", export=False, subfolder="onnx")
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classifier = pipeline(
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task="text-classification",
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```
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@misc{distilroberta-base-rejection-v1,
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author = {ProtectAI.com},
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title = {Fine-Tuned DistilRoberta-Base for Rejection in the output Detection},
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year = {2024},
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publisher = {HuggingFace},
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url = {https://huggingface.co/ProtectAI/distilroberta-base-rejection-v1},
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}
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```
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