Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use dyryu/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dyryu/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dyryu/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dyryu/results") model = AutoModelForSequenceClassification.from_pretrained("dyryu/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 734e1c0618dfbe3c4a2b5ae740201ce766eaf8dc67c520bd1d73c7dc87327e6e
- Size of remote file:
- 5.18 kB
- SHA256:
- fa3b61ca326fce583a120c140be1591f59bc51aaff729e1db2a48f00c5134270
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