Instructions to use dfelorza/imdbreviews_classification_roberta_v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dfelorza/imdbreviews_classification_roberta_v01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dfelorza/imdbreviews_classification_roberta_v01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dfelorza/imdbreviews_classification_roberta_v01") model = AutoModelForSequenceClassification.from_pretrained("dfelorza/imdbreviews_classification_roberta_v01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efc2417d0b61a89b8417a52907603c328a0df7cd043fc24deeb8a063830ef135
- Size of remote file:
- 499 MB
- SHA256:
- f246132c0c9a415d121bfdaacb16cf59e8a234e15e76d640b9c6a1085fb8aa2f
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