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:
- 9352861a3b87669ab3419caf098f9582480b4ee57c89bd16f1c0786e253df728
- Size of remote file:
- 4.03 kB
- SHA256:
- 17e94f9124751e425e719a89aca3c1b256e9944762015cedd5b36a6c11c73a61
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