Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Realgon/N_roberta_imdb_padding30model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Realgon/N_roberta_imdb_padding30model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Realgon/N_roberta_imdb_padding30model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Realgon/N_roberta_imdb_padding30model") model = AutoModelForSequenceClassification.from_pretrained("Realgon/N_roberta_imdb_padding30model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Realgon/N_roberta_imdb_padding30model: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/Realgon/N_roberta_imdb_padding30model/resolve/07e259d3ba8895115886e85cb5dd4afebdb5240c/training_args.bin
- Command line
-
hf download hf://Realgon/N_roberta_imdb_padding30model@07e259d3ba8895115886e85cb5dd4afebdb5240c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Realgon/N_roberta_imdb_padding30model/resolve/07e259d3ba8895115886e85cb5dd4afebdb5240c/training_args.bin
4.09 kB
- Xet hash:
- dada210a4798a169366450665a0f4abbf88dfae2dca607cf74c270ba98bd813b
- Size of remote file:
- 4.09 kB
- SHA256:
- 1a510ff939d8fb68391518e912997f324cb0593fe9ec6c49b76d60e3a57f0eb0
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