Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use responsibility-framing/predict-perception-bert-focus-assassin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use responsibility-framing/predict-perception-bert-focus-assassin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="responsibility-framing/predict-perception-bert-focus-assassin")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("responsibility-framing/predict-perception-bert-focus-assassin") model = AutoModelForSequenceClassification.from_pretrained("responsibility-framing/predict-perception-bert-focus-assassin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 124503add544aef7b0af98ace7f78cffb6409c6cf803596f8ecc2b323ef30259
- Size of remote file:
- 3.12 kB
- SHA256:
- b0617d0ce87f2ec41ffc2ee378ffce5216642c862274ef8d4e77dce28d101c77
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