Instructions to use joeldenny/finalclassificationmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joeldenny/finalclassificationmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joeldenny/finalclassificationmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joeldenny/finalclassificationmodel") model = AutoModelForSequenceClassification.from_pretrained("joeldenny/finalclassificationmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ba0bcae5a6a387523bae7fb2231ba04a35f4be1ee26c40fe3ec35860a169ca3
- Size of remote file:
- 438 MB
- SHA256:
- f412f35c6004d89f73ffc6abdc054a7ceaa1256d99f301e698c79f5eabf40157
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