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:
- e8624e216121791da4de3703744144d62236193eaca342dd1718cd6736f0bdba
- Size of remote file:
- 3.39 kB
- SHA256:
- 70bda961e007d71de1d23fa1b492cac11bc27a0c515c6dde8c3f6d2c882d9e75
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