Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Nared45/roberta-base_correlation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nared45/roberta-base_correlation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nared45/roberta-base_correlation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nared45/roberta-base_correlation") model = AutoModelForSequenceClassification.from_pretrained("Nared45/roberta-base_correlation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Nared45/roberta-base_correlation: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Nared45/roberta-base_correlation/resolve/main/training_args.bin
- Command line
-
hf download hf://Nared45/roberta-base_correlation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Nared45/roberta-base_correlation/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 570ddc37dd089f9c3ba7d59e2e5a88588bf6dc98df26b4ffa39d8fd631631def
- Size of remote file:
- 5.18 kB
- SHA256:
- 96fd45553baa0af07050035988cba31fa218b42f352d9e5413f61739ad3faf69
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