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sarcasm-detection-BanglaSARC
raquiba/sarcasm-detection-BanglaSARC
sarcasm-detection-BanglaSARC is a text classification model from raquiba. Use it when you need a label for a piece of text. It is set up for transformers.
from transformers import AutoTokenizer, AutoModelForSequenceClassification ironyname = "raquiba/sarcasm-detection-BanglaSARC" tokenizerirony = AutoTokenizer.frompretrained(ironyname) modelirony = AutoModelForSequenceC…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Sep 15, 2023
- Updated
- Sep 15, 2023
- SHA
- 207ca6e8
Try a prompt
Model card
From the Hugging Face model README
from transformers import AutoTokenizer, AutoModelForSequenceClassification irony_name = "raquiba/sarcasm-detection-BanglaSARC" tokenizer_irony = AutoTokenizer.from_pretrained(irony_name) model_irony = AutoModelForSequenceClassification.from_pretrained(irony_name) irony_pipeline = pipeline("sentiment-analysis", model=model_irony, tokenizer=tokenizer_irony, device=0,max_length=512, padding=True, truncation=True)
#Model Evaluation tokenizer = AutoTokenizer.from_pretrained(irony_name) df_train, df_test = tokenized_data(df_eval) model_irony = AutoModelForSequenceClassification.from_pretrained(irony_name, num_labels=2, ignore_mismatched_sizes=True).to(device) training_args = TrainingArguments("test-trainer-banglaBERT", {'reprocess_input_data': True}, evaluation_strategy="epoch") trainer_irony.train()
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Languages
- bn
- Created
- Sep 15, 2023
- Updated
- Sep 15, 2023