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", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Flowerly/my-classification-model") model = AutoModelForSequenceClassification.from_pretrained("Flowerly/my-classification-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 144fb03638efb5e70e843e80db147ccdf649142cdcb48a30e982c3609c5c46f1
- Size of remote file:
- 1.11 GB
- SHA256:
- 11328e389b66b999d331358d5e4a63318641a7c9f8ac38b73e366648170cba76
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