Instructions to use henryscheible/stereoset_all_bert_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/stereoset_all_bert_all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="henryscheible/stereoset_all_bert_all")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("henryscheible/stereoset_all_bert_all") model = AutoModel.from_pretrained("henryscheible/stereoset_all_bert_all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93c479a216698f1a8005f643fece9c60ce7fe8ad4567c607a2caa30ae2f31bb8
- Size of remote file:
- 438 MB
- SHA256:
- 4354990d0da3380082bc21028206ea5f68ad633789fd1419acb6b3e3a6263515
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