Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use zwellington/bert-azahead-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zwellington/bert-azahead-v1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zwellington/bert-azahead-v1.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zwellington/bert-azahead-v1.1") model = AutoModelForSequenceClassification.from_pretrained("zwellington/bert-azahead-v1.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9d7838fd2374c76ff34546845a3b49eb84ae3b9fb08e8891d4a4a417f363691
- Size of remote file:
- 438 MB
- SHA256:
- dc8376202429d8f7f2eaa9181fa27e1f07e45a35bae949d5b0c0d79eda5da6b5
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