Text Classification
Transformers
TensorBoard
Safetensors
English
roberta
roBERTa
sentiment-analysis
english
fine-tuned
nlp
content-moderation
social-media-analysis
text-embeddings-inference
Instructions to use delarosajav95/tw-roberta-base-sentiment-FT-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use delarosajav95/tw-roberta-base-sentiment-FT-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="delarosajav95/tw-roberta-base-sentiment-FT-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("delarosajav95/tw-roberta-base-sentiment-FT-v2") model = AutoModelForSequenceClassification.from_pretrained("delarosajav95/tw-roberta-base-sentiment-FT-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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