Instructions to use Sinsinnati/hf_workshop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sinsinnati/hf_workshop with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sinsinnati/hf_workshop")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sinsinnati/hf_workshop") model = AutoModelForSequenceClassification.from_pretrained("Sinsinnati/hf_workshop") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a97df35aef0311e255374965c3b44e9e94d55010317488e8a87cffc466cd15f3
- Size of remote file:
- 433 MB
- SHA256:
- c0f19e37069f1be0deceb6a75422a62304e4e5c9b0d62e23bae77da516e70c60
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