Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ltuzova/imdb_classification_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltuzova/imdb_classification_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ltuzova/imdb_classification_roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ltuzova/imdb_classification_roberta") model = AutoModelForSequenceClassification.from_pretrained("ltuzova/imdb_classification_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ltuzova/imdb_classification_roberta: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/ltuzova/imdb_classification_roberta/resolve/main/training_args.bin
- Command line
-
hf download hf://ltuzova/imdb_classification_roberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ltuzova/imdb_classification_roberta/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 77947b8accb1482fb75b3f8502253d4c5789942007930558859b2ce094283472
- Size of remote file:
- 4.92 kB
- SHA256:
- bd30604cc4837e8c4161f50a42315aae2cfb108f660df7ffd067fd8fd6d9278e
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