Instructions to use Ploypatcha/my-model-upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ploypatcha/my-model-upload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ploypatcha/my-model-upload")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ploypatcha/my-model-upload") model = AutoModelForSequenceClassification.from_pretrained("Ploypatcha/my-model-upload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c25c89100a30f33779687ced0ac364091b8cd15c76dca97b06ce71bd51086a43
- Size of remote file:
- 438 MB
- SHA256:
- 7f7df1ff984abb8a6b074724de9b33381c3913320a4a6e8211a30b82b7f68420
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