Instructions to use SergeyTW/get_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SergeyTW/get_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SergeyTW/get_data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SergeyTW/get_data") model = AutoModelForSequenceClassification.from_pretrained("SergeyTW/get_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b9f79b4f8d6644e5558af74f4b0d56254312cdb80cac39a68c55603cbd5107f
- Size of remote file:
- 4.22 kB
- SHA256:
- cee757874bb1a1234b9e772e2b90cd796f3389f9a34efb28d4fc1a9e1210472e
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