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 model.safetensors from textattack/roberta-base-imdb: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/textattack/roberta-base-imdb/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://textattack/roberta-base-imdb@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/textattack/roberta-base-imdb/resolve/refs%2Fpr%2F1/model.safetensors
501 MB
- Xet hash:
- 48ba36370327a6545b1f5e5c70c92018d47ed6497a5b6c3427d41ff5d95ad426
- Size of remote file:
- 501 MB
- SHA256:
- 2f3a037691546455717564707dd06d7b399e1b681b2faddac683659833ea8efd
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