Instructions to use henryscheible/xlnet-base-cased_crows_pairs_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/xlnet-base-cased_crows_pairs_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/xlnet-base-cased_crows_pairs_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/xlnet-base-cased_crows_pairs_finetuned") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/xlnet-base-cased_crows_pairs_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d0d639a95641429a2c22a0374d1c94352d6b09a3d65236f1f47fb3f8ae7fe6f
- Size of remote file:
- 3.52 kB
- SHA256:
- d7952378fe2a0c7c2292081157ac51bc070b68b4c713fda1282735c42425cb9f
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