Instructions to use SergeyTW/action with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SergeyTW/action with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SergeyTW/action")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SergeyTW/action") model = AutoModelForSequenceClassification.from_pretrained("SergeyTW/action", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c85e9bdc5a35b9010a0187dc0876acd17efb599e2b3b33b6f011d3bf1bade9b
- Size of remote file:
- 3.58 kB
- SHA256:
- 67912d99d462460720278a08d36d1d713462c417be2c4b73c2880a1d9d5f8028
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