Instructions to use henryscheible/stereoset_bert-large-uncased_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/stereoset_bert-large-uncased_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/stereoset_bert-large-uncased_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/stereoset_bert-large-uncased_finetuned") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/stereoset_bert-large-uncased_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57eba709116722785051555a9fef761d1cf57963091e6ecdde1281b2f53d5929
- Size of remote file:
- 1.34 GB
- SHA256:
- 311d3cfc282489741e074933934818c1ce8c20df765cf5d706f280d593ceb676
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