Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ronalhung/roberta-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronalhung/roberta-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ronalhung/roberta-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ronalhung/roberta-imdb") model = AutoModelForSequenceClassification.from_pretrained("ronalhung/roberta-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ronalhung/roberta-imdb: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/ronalhung/roberta-imdb/resolve/main/training_args.bin
- Command line
-
hf download hf://ronalhung/roberta-imdb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ronalhung/roberta-imdb/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 927bbf6ff1fe6208e7c531c5545bdaaff3139ea15edd6a73673551bcf7c3429f
- Size of remote file:
- 5.2 kB
- SHA256:
- 1a8cde4fea78072b8479960d79c58d8232d59afd3d11538cc97a356a5e46be26
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