Instructions to use spurry/bert-large-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spurry/bert-large-V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spurry/bert-large-V3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("spurry/bert-large-V3") model = AutoModelForSequenceClassification.from_pretrained("spurry/bert-large-V3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 512f3cd91df422135204292b46059e9130c4bb8d1d29164fa5643ae228e6b93b
- Size of remote file:
- 3.52 kB
- SHA256:
- 8a70900fe83d97e062124191eab346a2004f7fbd163e375337617c6ba41eb5c4
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