Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use jxchlee/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jxchlee/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jxchlee/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jxchlee/results") model = AutoModelForSequenceClassification.from_pretrained("jxchlee/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ddcd8bb530fd1918d9828572034eb0908e6b508a53d2220813b52a7de67c923
- Size of remote file:
- 443 MB
- SHA256:
- 628005b036c6941ca1ca6bdab81da793d8f3a985e9e9b0ca323bf10762f31e07
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