Instructions to use ezb/CoinFlip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ezb/CoinFlip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ezb/CoinFlip")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ezb/CoinFlip") model = AutoModelForSequenceClassification.from_pretrained("ezb/CoinFlip", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a996ca6e157eb2e06b204b12f553c3d7b7f0e9785b0c2a58f1a542ca6bf220ed
- Size of remote file:
- 5.84 kB
- SHA256:
- bc52fd4933e9dfa7a2a8a57d62be729972dd9d3f7a806deebb2f848e7791e08c
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