Instructions to use SergeyTW/get_data_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SergeyTW/get_data_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SergeyTW/get_data_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SergeyTW/get_data_model") model = AutoModelForSequenceClassification.from_pretrained("SergeyTW/get_data_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ef458e7f12b76690298eb658bf072404d64e46bae1762e0a702328c8f43095d
- Size of remote file:
- 268 MB
- SHA256:
- 39cbbc5c544999f1affe06080979c4f25780eaa28f5aa4e4b5ea7da3becda0c1
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