Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use juhyun76/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juhyun76/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="juhyun76/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("juhyun76/results") model = AutoModelForSequenceClassification.from_pretrained("juhyun76/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 473c90fb6ece69c16c4b3131e3500465784e21f0ccc09a9070b767937189be9a
- Size of remote file:
- 5.78 kB
- SHA256:
- cc95ae8f5395f36ea7a521415a9044f825e4c6117fe10ca1cec3ade171900cdb
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