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 flax_model.msgpack from textattack/roberta-base-imdb: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/textattack/roberta-base-imdb/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://textattack/roberta-base-imdb/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/textattack/roberta-base-imdb/resolve/main/flax_model.msgpack
499 MB
- Xet hash:
- afa57ed3727e47726b30641e7f4d1390b0971a978c4ae276b66b220a8552cf5b
- Size of remote file:
- 499 MB
- SHA256:
- 8ed160c283733d42a75882422efa87c4d510b5d01a70654cdfc44e26d247321d
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