Instructions to use abletobetable/stress_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abletobetable/stress_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abletobetable/stress_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abletobetable/stress_bert") model = AutoModelForSequenceClassification.from_pretrained("abletobetable/stress_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f6f1db3313f1f6e3f844d84c7a4950659838629a054c2d390c2db0d612e2069
- Size of remote file:
- 3.58 kB
- SHA256:
- 83e19cafb9596f4d4da746fdba88b89c0ebb855fae125cde68f978981d208b01
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