Instructions to use Etelis/IMDB_XLNET_5E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Etelis/IMDB_XLNET_5E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Etelis/IMDB_XLNET_5E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Etelis/IMDB_XLNET_5E") model = AutoModelForSequenceClassification.from_pretrained("Etelis/IMDB_XLNET_5E", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e9e132b7b1402673eab32aab00582638726a6e916cf1cbcd7b96507573ecedf
- Size of remote file:
- 469 MB
- SHA256:
- a7d8766337d925d76cafb700b32f0f2969a5d50d49b899a7bb8b6bc51e6dbcd0
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