Instructions to use dfelorza/imdbreviews_classification_distilbert_v02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dfelorza/imdbreviews_classification_distilbert_v02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dfelorza/imdbreviews_classification_distilbert_v02")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dfelorza/imdbreviews_classification_distilbert_v02") model = AutoModelForSequenceClassification.from_pretrained("dfelorza/imdbreviews_classification_distilbert_v02") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75ed44deedb0e9510f4ee54bd6e9c36eeb4c6277660f5b337175c942abe56dce
- Size of remote file:
- 268 MB
- SHA256:
- 213ce684f2c07aaf7a537eabbafc17684d9738876a2dad9f20545c48a5072ace
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