Instructions to use will4381/inference_confidence_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use will4381/inference_confidence_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="will4381/inference_confidence_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("will4381/inference_confidence_model") model = AutoModelForSequenceClassification.from_pretrained("will4381/inference_confidence_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5d45d62e79673508f58c4f047adcf7d3933080a74ce72b15e06e26318155146
- Size of remote file:
- 438 MB
- SHA256:
- 738b2b1aaa29151685948e370dc5ed2339429afd169262689a22b52a08ac0cdd
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