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schizophrenia-roberta-large
Amalq/schizophrenia-roberta-large
schizophrenia-roberta-large is a fill-mask model from Amalq. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
is a model initialized with roberta-large and trained with Schizophrenia Reddit, a subset of Self-Reported Mental Health Diagnoses (SMHD) dataset which consists of Reddit posts by patients with schizophrenia only or s…
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jul 26, 2022
- Updated
- Jul 26, 2022
- SHA
- 5914d6c8
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Model card
From the Hugging Face model README
SchizophreniaRoberta model
is a model initialized with roberta-large and trained with Schizophrenia Reddit, a subset of Self-Reported Mental Health Diagnoses (SMHD) dataset which consists of Reddit posts by patients with schizophrenia only or schizophrenia with other mental disorders and matched control. We follow the standard pretraining protocols of RoBERTa with Huggingface’s Transformers library.
Usage Load the model via Huggingface’s Transformers library:
from transformers import AutoTokenizer,
AutoModel tokenizer = AutoTokenizer.from_pretrained("Amalq/schizophrenia-roberta-large")
model = AutoModel.from_pretrained("Amalq/schizophrenia-roberta-large")
Perplexity of this model is: 4.43
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- en
- Created
- Jul 26, 2022
- Updated
- Jul 26, 2022