Instructions to use noob123/original_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noob123/original_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="noob123/original_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("noob123/original_model") model = AutoModelForSequenceClassification.from_pretrained("noob123/original_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4159eea8e414cf32e16c728bb32ae2808422ab77a9325bf1be8c11c736263ee
- Size of remote file:
- 438 MB
- SHA256:
- 7c23b27a144fccfd49f359f80c83be7fd674843e21dae113a755647e2784e7e9
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