Instructions to use nbolton04/bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbolton04/bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nbolton04/bert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nbolton04/bert_model") model = AutoModelForSequenceClassification.from_pretrained("nbolton04/bert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0a86ffa26393ec2c2a086cef85e735f176867011a14d86d6c8f86507ae2f7ca
- Size of remote file:
- 3.25 kB
- SHA256:
- 70894844116a871e9e613c0f30a97dd014fe33656ffb4c77a72880f6593aaa29
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