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:
- dbb540ac86cd4bcd4af68a45d83ba8fac454fc59d4bfc4b8688d2d2d60c3b149
- Size of remote file:
- 268 MB
- SHA256:
- 45be6bbd23cceb96b7069153e9cbafa08c6c6c754818f66e39353ffe06150677
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