Instructions to use NicholasSynovic/forking-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NicholasSynovic/forking-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NicholasSynovic/forking-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NicholasSynovic/forking-test") model = AutoModelForSequenceClassification.from_pretrained("NicholasSynovic/forking-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19ba4a7cf11e24a9c9c20469e01cc613400f208563cefddac1a8ce808585771d
- Size of remote file:
- 4.47 kB
- SHA256:
- 25b895ff1dfc6fe11586f521dd2a414b641185a67d3a4f615f25df3b408329d1
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