Text Classification
Transformers
Safetensors
PEFT
Chinese
bert
finance
sentiment-analysis
chinese
lora
dapt
text-embeddings-inference
Instructions to use Roeyyyyyy/quantmind-sentiment-dapt-flame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roeyyyyyy/quantmind-sentiment-dapt-flame with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Roeyyyyyy/quantmind-sentiment-dapt-flame")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Roeyyyyyy/quantmind-sentiment-dapt-flame") model = AutoModelForSequenceClassification.from_pretrained("Roeyyyyyy/quantmind-sentiment-dapt-flame", device_map="auto") - PEFT
How to use Roeyyyyyy/quantmind-sentiment-dapt-flame with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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