Instructions to use sushruth13/xlnet_base1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sushruth13/xlnet_base1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sushruth13/xlnet_base1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sushruth13/xlnet_base1.0") model = AutoModelForSequenceClassification.from_pretrained("sushruth13/xlnet_base1.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f493809134912e16d4106ca891f8dc230ca819c7b5b82bdcd714a3aec959137c
- Size of remote file:
- 565 MB
- SHA256:
- 938fdad36b1dfe04257318f4478f3999487b37e36e60342f335d040f54c16186
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