Instructions to use shukdevdatta123/twitter-distilbert-base-uncased-sentiment-analysis-lora-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shukdevdatta123/twitter-distilbert-base-uncased-sentiment-analysis-lora-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shukdevdatta123/twitter-distilbert-base-uncased-sentiment-analysis-lora-text-classification")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shukdevdatta123/twitter-distilbert-base-uncased-sentiment-analysis-lora-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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"cls_token": "[CLS]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
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