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:
- 88bb6b669ef8feeed3ae77f35926a9d5d8f675242e101f3f81d11acf9ac877b4
- Size of remote file:
- 3.58 kB
- SHA256:
- b8c99069b94f8850b268b2af6ebe15fa9a6441dd0ac5bfc18aad8452e0d53401
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