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:
- b2a6adcf2a34197c28b236d1d266b4eee8e96f3a135018309925a231c8a24177
- Size of remote file:
- 3.52 kB
- SHA256:
- 17a66122bb9a3624d4b3c4c2241bdb428c8f62f64c84c0b3149345bdeaeb5890
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