Text Classification
Transformers
Safetensors
English
modernbert
text-generation-inference
unsloth
trl
text-embeddings-inference
Instructions to use siruenyian/bert_sarcasm_id_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use siruenyian/bert_sarcasm_id_lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="siruenyian/bert_sarcasm_id_lora")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("siruenyian/bert_sarcasm_id_lora") model = AutoModelForSequenceClassification.from_pretrained("siruenyian/bert_sarcasm_id_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: siruenyian
- License: apache-2.0
- Finetuned from model : unsloth/ModernBERT-large
This modernbert model was trained 2x faster with Unsloth
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Model tree for siruenyian/bert_sarcasm_id_lora
Base model
unsloth/ModernBERT-large