
# SchizophreniaRoberta model

is a model initialized with [roberta-large](https://huggingface.co/roberta-large) and trained with Schizophrenia Reddit, a subset of [Self-Reported Mental Health Diagnoses (SMHD) dataset](https://arxiv.org/pdf/1806.05258.pdf) 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](https://github.com/huggingface/transformers).    

## Usage Load the model via [Huggingface’s Transformers library](https://github.com/huggingface/transformers):   

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
{"language": "en", "license": "apache-2.0", "tags": ["Transformers"], "datasets": ["SMHD", "Schizophrenia Reddit"]}
transformers pytorch roberta fill-mask Transformers en arxiv:1806.05258 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #fill-mask #Transformers #en #arxiv-1806.05258 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


# 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
# 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
TAGS
#transformers #pytorch #roberta #fill-mask #Transformers #en #arxiv-1806.05258 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # 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
passage: TAGS
#transformers #pytorch #roberta #fill-mask #Transformers #en #arxiv-1806.05258 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# 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