Instructions to use loraxian/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use loraxian/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="loraxian/model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("loraxian/model") model = AutoModelForSequenceClassification.from_pretrained("loraxian/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75b5381ffbdd6c3406db3a394405a5c12f15964c033aa9c123a33393f70abd1d
- Size of remote file:
- 4.09 kB
- SHA256:
- 3f4faeefaa88f45ece3a78c6e7619be4f3b8c192526b2a92369a65a46abb2586
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