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")# 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 pytorch_model.bin 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/pytorch_model.bin
- Command line
-
hf download hf://textattack/roberta-base-imdb@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/textattack/roberta-base-imdb/resolve/refs%2Fpr%2F1/pytorch_model.bin
501 MB
- Xet hash:
- 76de0431e345214cdc3943631c61a7340ec4af9a2c4daffa810fd3df35ded303
- Size of remote file:
- 501 MB
- SHA256:
- 666a7635d2d4040150da0c1050ea78ff2f3c7f642d1ad10b8f24e6cb44bab80d
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