Instructions to use Flowerly/my-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Flowerly/my-classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Flowerly/my-classification-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Flowerly/my-classification-model") model = AutoModelForSequenceClassification.from_pretrained("Flowerly/my-classification-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d94bdfa7d9ab081bcb1389c34dc96448f8e4efb0f24d3fbcd141eecf561b9fe9
- Size of remote file:
- 17.1 MB
- SHA256:
- b8ab08d043462fecde577bbb4e0e331953586530aada7874dc1acb79f562cb12
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