Instructions to use textattack/roberta-base-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-imdb") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from textattack/roberta-base-imdb: direct link, hf CLI and curl.
- Browser
- Download file 25 Bytes
-
https://huggingface.co/textattack/roberta-base-imdb/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://textattack/roberta-base-imdb@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/textattack/roberta-base-imdb/resolve/refs%2Fpr%2F1/tokenizer_config.json
25 Bytes
| {"model_max_length": 512} |