Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use BiggieW/classification_chnsenticorp_eda_aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiggieW/classification_chnsenticorp_eda_aug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BiggieW/classification_chnsenticorp_eda_aug")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BiggieW/classification_chnsenticorp_eda_aug") model = AutoModelForSequenceClassification.from_pretrained("BiggieW/classification_chnsenticorp_eda_aug") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e815a1e24c62c22406e74b56b7a0b8ab7e015c7ca6d0645a0a5c576188c72ee1
- Size of remote file:
- 409 MB
- SHA256:
- 404a96d254a31d5d8b8039c7f7ed1bce75044346f1ee77571836df93a4b69e58
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